We have one more panel before our closing conversation. And this will be our panel I am Ellen financial inclusion and I'm going to go ahead and introduce our moderator Jo Ann Barefoot you good afternoon. I am paraffin but I know it's getting to be late in the day but we are going to give you a lively panel and I'm excited about the fact that I think our topic is going to weave together many of the things that we've been talking about over the last day and a half so maybe we'll be able to bring some general perspective to it I am c.e.o. of air of the Alliance for innovative regulation and a co-founder of hummingbird bag tech and I am thrilled to introduce my panel and 1st to thank the University of Michigan again Michael and Adrian and their amazing team I myself am an undergraduate a law of the University of Michigan it's just been a joy to be back on campus. And I also want to thank the Gates Foundation for the incredible visionary work that you do in this area and everything else. I'm going to start by introducing our panelists we are each going to make some opening comments and then we're going to have a conversation and my 1st guest far to the right is Jennifer calvery my guests have long titles and when you read them she is the global head of financial crime threat mitigation at h.s.b.c. and also group general manager based in London she runs a unified global capabilities that leverages analytics and technology to identify analyze and investigate financial crime risk to their h.s.b.c. group in 60 countries she and Aaron both have an amazing background in both the public and private sectors and Jennifer was previously the director of the financial crimes and Foresman network. So she was the senior person in the United States running the anti money laundering. Organization in the Treasury Department prior to that she sort spent 15 years as a prosecutor at the Department of Justice dealing with money laundering corruption fraud and organized crime my other guest is Aaron Klein Aaron is the economic studies fellow and policy director of the Center on regulations and markets at the Brookings Institution prior to that he ran the Bipartisan Policy Center is work in this field and before that he was deputy assistant secretary of the Treasury for economic policy in addition to having served on the Senate Banking Committee staff. Much earlier than you did so I'm going to ask them in a few moments to as I said give some opening comments but 1st I'm going to set the stage a little bit and talk with a wide lens about the money laundering. And as an issue in general and specifically for financial inclusion. Bill Gates famously said. We tend to overestimate the change that will happen in a year or 2 and underestimate the change that will happen in 10 and here we are looking at this 50 year timeframe and I think it's important to as we ponder this to think about the fact that as change occurs over that long Sure Jack 3 it's not going to be a gradual linear slope it's much more likely that we're going to go through a series of sort of hockey stick. Changes that are going to catch us by surprise there's a character in a novel by Ernest Hemingway who was asked how he went bankrupt and he says at 1st gradually and then suddenly. So that's what we're dealing with a big shift to a new world that we know we're all working and because finances digitising and financial regulation is going to do the same. The m.l. system that we have today I'll be interested to see if my panelists agree is broken and it's important that we fix it and we can fix. It there's a tendency sometimes especially in the financial world to think about financial crime and money laundering as white collar crime or victimless crime and it's really among the most terrible types of crime on earth it funds terrorism and it funds illegal trafficking and weapons and drugs and looted and tech with the youth and endangered wildlife and in human beings and the human trafficking issue just to pick out one facet of this to focus on the u.k. Financial Conduct Authority uses the numbers that there are 40000000 people today in slave as human captives more than all of the older history of the world combined 10000000 are children and a 1000000 children are enslaved for sexual exploitation this is a crime that's been growing and that we need to figure out how to stop and we work very hard to stop it the industry the u.n. estimates is that there is about 1.6 trillion dollars laundered every year and that we catch less than one percent of that with the tools that we use today and that's despite spending tens of billions of dollars a year to try to catch it and despite all the efforts of the kinds of people in this room who are working from a regulatory and Foresman standpoint to fix it. If you'll get my presentation it's got some more statistics on it but this effort is not working we have a you know you can and you can debate it at the margin but we've got basically a 99 percent failure rate and then beyond that and well it's not just failing but it's also doing harm it does cause financial exclusion and makes it difficult for people to come into the financial system which is the main focus of the gates work in this space. As it has been discussed all day many people can't qualify they can't prove who they are easily enough or can easily get into the financial system and have access to it and so there's been a lot of work looking at the impact of the de risking process particularly what we've seen in part from the United States and fueling cutting off of whole sectors whole countries and even humanitarian crises and I've got a few quotes here from some of the people who have looked at these problems so we ask ourself why aren't we doing better if we're spending so much and I think there's 3 answers to that the 1st is that the forces of the financial world. And of law enforcement and regulation are using old technology and the criminals are using great new technology more and more and more. Secondly we are using old analog era identity systems that have just created a terrible terrible challenge with the Know Your Customer rules it is important that people be identified to come into the system but whether you're in a developing country or a developed country both models are broken in terms of people being able to easily to prove who they are and begin to think about moving to a digital identity system that could be both effective and efficient and the 3rd thing that causes great difficulty in this system is that the forces for good need to protect the privacy of the individuals in the system and the criminals don't they share information freely they buy and sell data without any restriction on it and we on the other hand cannot easily share data with each other and watch where that has developed to capture this point is the slogan that it takes a network to defeat the network and we are not well networked in fighting financial crime so the thing I'm going to going to stay focused on for a moment before I turn it over to John and I'm looking forward to a great discussion of this with. When we get into the panel is that there are a lot of people working on all 3 of those problems and the in particular people are working on the 3rd one by trying to evaluate the potential of privacy and Hansing technologies to enable safe widespread sharing of information between banks and each other banks and governments a cross country borders and so on and this issue was the focus of the hackathon this year in July run by the Financial Conduct Authority in the u.k. to study the potential of privacy enhancing technology is John was there she and I were both at there similar about a year earlier to study new types of ways of limiting the knowledge that's being shared if you think about. If you think about wanting to buy liquor. And having to hand your driver's license to a clerk in a store there's a reason that that clerk needs even to know what your birthday is not to mention all the other information on your driver's license. All he and or she needs to know is that you're old enough to buy it and so there's a lot of emergence of thinking about can we just give smaller amounts of information that solve the problem at hand and not share everything the f.c.a. invented this technique called Tex Prince they are hack a thons. They will tell you we are regulators so we don't like the word hack and so we call them tax prints and when they ran the one this year they asked air our new nonprofit to run a Washington satellite site for it and we had a very productive week running the 1st ever u.s. tax print focusing on an l. issues we had a great turnout of large and small banks and and a great turnout of government agencies. We had $65.00 regulators participate in the u.s. over the week in addition to a much bigger event that happened in. In London and we had it Q noted by the f.d.a. I see Chairman Yelena MacWilliams who has been a real driver for regulatory modernization in the United States and she also was a judge in the the program and we are excited to say that on Monday we are going to fin send to meet with the director and his direct reports with the teams that were in the hackathon and present their solutions to within certain and model a new way of thinking about how to accelerate change by not just having working groups and conversations but actually getting people together cross discipline and writing some computer code. And back to the point that these issues are coming fast this is a quote from our friends in the u.k. who said they realize that if they don't move forward given the pace of change in today's technology world in effect they'll be accelerating backwards and that they need we need to move forward even when we're not totally sure exactly what it is that we think we should do so many regulators throughout the world central banks and other regulators are working on these issues so are ones in the United States and I just offer this as something to think about and then turn to Jan who can tell me whose picture that is. Barney Frank are former Congressman Barney Frank of Dodd Frank co-sponsorship him brilliant man I will say and this of course as a picture of Steve Jobs and we've been trying to ask the question what would happen if you gave the same problem if you had been able to give the same problem to Barney Frank and Steve Jobs they would approach it completely differently can we begin to create regulatory innovation models that are getting the best of both of these kinds of thinking combined at the same table working on the same problems at the same time I'll just mention very quickly I am a senior fellow at Harvard I have a series of papers coming out on these topics and I have a podcast show called Barefoot innovation on these topics which I commend to you I had wanted to show you a video from the f.c.c. and we weren't able to do it technically but this is one slide from it I urge you to go to the f.c.c. its website and watch the video of their 7th text print the one that they just held to talk about what they think they can do with technology to do better for anti money laundering and the fairness and efficiency both of the system so with that I want to turn it over to Jan. And she is going to talk to us for a little bit and then Aaron I think you have some slides as well. Gente Thank you Joe And good afternoon everyone I'd like to thank Adrian and Michael as well and your team for the kind of a patient to be here today I did not go to the University of Michigan but I did grow up about a half hour away from yours so it's nice to be home and I'll see if I can even get a little bit of my prior Michigan accent to come out during the course of this discussion is mostly lost but we'll see. So as Joanne mentioned I started my career my professional life as a prosecutor at the u.s. Department of Justice and towards the end after 15 years there became an executive leading prosecutors my last job at the department was heading up the organization that was in charge of money laundering prosecutions recovering funds from things like kleptocracy abroad but also prosecuting financial So institutions that failed to have affective anti money laundering programs in place or engaged in sanctions stripping So from that position I moved over to sent to be a regulator and to be. Part of an organization that collects all the data that banks file all those reports that banks file those go to fins and they're the financial intelligence unit who did that and then moved over to h.s.b.c. or where I work on the same issues I moved to a just b.c. and tell people that after 20 years in the u.s. government someone who cared a lot about. Keeping community safe that I thought I could make a bigger impact on the world for good at h.s.b.c. if I could help them to be effective at that at that aspect of their responsibility than I could even in the u.s. government and I have to say that hasn't changed now after 3 years at h.s.b.c. although it does occur to me that there is now one position left in the anti money laundering financial crime space that I have not done. And that would be to actually launder the money or help criminals to launder money so I can keep that out there as a possible future job opportunity but if for now focus and I'm still trying not to say on the right side of the of the law so you know listening to the discussions throughout the last couple days it occurs to me that as we talked about the financial crime agenda in the context of financial inclusion it was so much of the conversation has been about how it is a hurdle to or obstruction to that and that and again that goal of financial inclusion and I can't help but wonder and have given quite a bit of thought to doesn't need to be that way is that is that right is that a fair. Assessment 1st of all and if so does it really need to be that way and so I thought I'd just spend a few minutes talking about that that question before we go into the over to Erin and into the broader panel. So is it an impediment. I think it's probably fair to say that it is and maybe I can spend just a moment explaining why these from the perspective of a large global financial institution were in more than 60 countries we have more than 30000000 customers we are expected to and want to. Make sure that we don't have criminals exploiting our financial services to harm our customers in our communities so that can be everything from fraud to money laundering to sanctions to tax evasion corruption human rights abuse human trafficking all the kind of ills we don't want to be exploited for those ends but we need to try to do that by monitoring transactions and understanding the individuals with whom we are who are by. Banking and with whom they are transacting our customers are transacting So let me try to put a little bit of a color around that on a monthly basis we screen 658000000 transactions through 200000000 accounts. When we get a list of 10 names and asked you know do you these are 10 names of individuals Do you bank any of these folks will tend to come back with thousands of hits on those 10 names most of which of course are are not the actual 10 people and that's if we get 10 names and not hundreds or thousands and so the stale of trying to do under the best of intentions. A good job at this is just daunting and the way that institutions have done it today is not particularly effective and this is across the board it's the system across the board the way we try to perform these responsibilities today is we look at transactions individually and we try to understand if they are suspicious of financial crimes so when you have that many transactions to start a transaction and screen that using rules based systems means that the alerts to actual real suspicious activity ratio is very low so in the single digits most of what we do is clear noise out of the false positive rate systems and that's just in the am L.-Space we have separate systems where we look at sanctions and clear out all the the false positives around name screening that we're doing we have separate systems that focus on fraud and try to do the real time transactions and on screening of transactions to understand if there is fraud and so we go through all these different. Systems generate large amounts of false positives ultimately get to reports that we do provide to government to help keep communities safe in Europe I've seen some studies saying that only about 10 percent of those are actually used by law enforcement in Europe and we've all seen the statistics that only about one percent of criminal assets are actually confiscated each year that's not to minimize some very good work that does come out of that and there is some really important and great work that comes. In that in the financial crime space but it's I don't think it's we feel it's terribly effective at achieving the goals we wanted to achieve so there is a large conversation a wide recognition I think globally amongst regulators amongst industry that we need to do something to achieve the ends that that that the financial crime mandate is seeking to achieve and then when you put that next to what about the. Negative impacts it has on financial inclusion how do you think about that so the reason that we see the negative impacts on financial inclusion is because Let with a blunt system like the one I just described rules based very blunt tried. Suspicion we're not very good at finding it which means that if we're operating in a high risk jurisdiction and high risk products high risk clients we have run a very high potential of missing the real financial crime and we face the very real possibility of having a Forstmann actions that levy fines over a $1000000000.00 on institutions and so trying to understand the risk of their end up with financial institutions all making and assessing the risk in the same way you see financial institutions all things the same jurisdictions the same products the same. Classes of customers are risk and we're not sure how to manage it and so when everyone leaves that jersey fiction at the same time we end up with the the risk in debates with the financial inclusion issues. And so that's that's where we see the impacts so then we turn to the question but does it have to be that way. His and I don't think so for many of the reasons and the things we've been talking about today the opportunities that technology provide for us I think we can go a long ways in being more effective at identifying financial crime and thus being far more. Targeted in our actions. Which number one means we don't have to do you risk entire categories of of clients and secondly can give us the confidence to go into jurisdictions or take on clients that we haven't had the confidence in the past because we weren't sure we could actually identify risk when it occurred there. We're doing a lot of thinking certainly at my institution but others as well how exactly do we get from here to there and we're focused on looking at. Taking all the data essential at our disposal that we already have looking at financial crime holistically So instead of doing it in silos fraud versus sanctions versus money laundering look at a customer or their counter party and try to understand the probability that this customer poses a significant financial crime risk to us today updating that view dynamically as we get in new data each day and being able to understand down to a very high definition view what is the probability that someone poses a financial crime risk and you could imagine if we're able to do that really zoom in almost like a hammer and a high definition camera in and understand where there is risk and pin point that risk and take the appropriate actions it means that we could also zoom out and understand what a risk is of a product of the jurisdiction of a sub sub sub jurisdiction and be much more able to go into places that we haven't had the confidence to go into in the past for a big bank like ours where our business model is not mass retail at the at the. At the lowest social and social economic and it doesn't mean that we're all of a sudden going to move into a different business model in that sense but what it does mean is that several of the whether it's been tax or traditional financial institutions who do operate in that space and eventually need access to the international finance system or products that were willing to go into those Institute. At least have the confidence that we would be able to do that so I do think there in that there is an ability both to improve our financial crime outcomes make our community safer keep them safe while at the same time making it so that financial inclusion and financial crime are mutually supportive and not at odds with one another and fact it's fascinating to hear some of the ideas the policy ideas around financial inclusion are some of the same ones that are needed to implement the vision that I just outlined so things like a digital identity are absolutely at the core of being able to do some of the things that I'm talking about as is information sharing in the issue of data and sharing of data across border within an institution between institutions with government but that issue of information sharing and data is absolutely at the core of this. The only one of it we usually typically at ages b.c. we say there's 3 things we need it to really go in this direction digital identity information sharing and then the only one I didn't hear come up as part of a financial inclusion discussion is central registries for beneficial ownership that one is more aligned to the peer financial crime discussion that I think the financial inclusion but the fact that we cross over on 2 out of the 3 major kind of policy solutions I thinks is is just indicative of the fact that where there's more in common between these 2 policy goals than there is in tension between them I guess the last thing I'll say before before turning over a year Aaron is. Also trying to think I guess as I was listening to the discussion over the last couple days what the significance to central banks might be to the extent that the central bank of the future offers financial services such as a stable coin or. In that we're really working more on the payment rooms and I wonder how much of the risks that I have to manage every day all of a sudden become your reality as well trying to deal with all of the cyber enabled the fraud looking at things like the swift attacks on the bank of Bangladesh does that become your daily reality if you're now running the payment systems what about you keeping the financial cry criminals from exploiting the products and services that you're offering so I I think I would leave you with be careful what you wish for on that front and maybe it's a new career opportunity as I don't want to have to become a criminal I can come help central banks and protect on that end but I'll leave it there and turn. The light to. Us so. Let me just start by thinking Adrian and and Michel for having me and for putting this great event together and think the Gates Foundation an echo a comment Michael made last night about the fantastic diversity of thought background experience geography and gender that's been represented at this conference it's really something that's quite impressive and I'm pleased to be a part of it. I also let me let me start by saying one thing that I'm excited about about a central bank of the future is that central banks tend to be if not dominated by economists have a strong voice from economists economists hate an index numbers. The current $10000.00 threshold level for currency transaction reports is hardwired into law and is on the index and I think it's very useful I mean I mean this graphic when I was at the Bipartisan Policy Center and sort of delving into this to really think back about what this system was designed to do when it was enacted in the late sixty's and why the system is broken per joins question I'll answer it yes the system is broken one of the reasons the system is broken is because a system designed to do everything kind of does nothing when this system was designed in the seventy's it was designed to catch tax cheats and organized crime moving a large sums of money through the financial services system $10000.00 I usually like to focus that you could buy a fully loaded Cadillac in cash and not trigger c.t.r. today there's not a single car but since we're here you could have walked in the University of Michigan in 1902 and paid your entire annual tuitions at the average. Public University today if you're out of state you can't at Harvard you could have walked in and paid your entire annual tuitions any of the average private university. In cash no c.t.r. in part of this is because over time this is Tim has been bootstrap to catch other types of criminals in the eighty's it was moved to catch drugs and drug money it was then again changed after 911 to catch and focus on terrorists who use the financial system for radically different purposes it radically different dollar amounts and so you know part of this question then becomes who commits I think Jen put it right the real financial crime so let's look at it financial criminals who went to jail. So. The 1st one is Denny Hastert who's in jail for anti money laundering particularly for structuring the actual crime I think he's made to go to jail for was molestation of a child while he was a wrestling coach but the statute of limitations for that was a long time ago and the crime that he was easily proven of was a mound structuring since I'm in a college audience I'm trying to to to relate to the current generational element more and for those of you that knew the Jersey Shore Mike The Situation was the smartest member of the Jersey Shore so he knew that there was a $10000.00 reporting limit he was also part of the Jersey Shore's so we thought if he continually put $1999.00 into his count from d.j. gigs that he wouldn't have to report taxes on that. Now they are financial criminals Al Capone was a huge criminal the gravity of what Al Capone did is stunning He came along before and now but obviously was brought in for tax evasion which kind of animal was essentially a tool to catch. And so but are these the people are these the high priority out of the hundreds of millions of transactions agenda organization is looking and the scarce amount of resources we can dedicate Are these the people that we want to use the ammo regime and task the central bank to commit to prioritize because there are criminals. So here's a somebody else who's been snared in am out. One I thought in the afternoon we wouldn't mind looking at at Leo But beyond that he'd gotten some money from a Malaysian film financier whose assets were eventually sees and you can kind of go through the story and realize he had nothing to do with this but ironically enough the Wolf of Wall Street may have been financed. By criminally launder funds which then when you go into asset and part of the reason I pull this up here is because I think there's a thesis that often goes unstated in m.l. reform that conflicts with the modern reality of what it is and how it actually works on the ground it gives some deference to Gen On this to agree or disagree with me and you have more experience in it but the thesis kind of goes as follows criminals are operating in the bottom of the ocean which is super dark and hard to find criminals generate financial profits particularly a lot of the heinous crimes that Jo Ann was talking about human trafficking cetera that profit like money kind of bubbles up to the surface and when if you could find the bubbles because it has to go through the financial system to be transmitted particularly for international crime which began with the mafia returning money or drug cartels expropriating money out of the United States but either way the money needs to move around borders that then you could find the crime bubbles the money would be easy to find then you could trace it down the water and catch the bad guys what I think instead we've actually ended up with is more of a system where law enforcement kind of finds bad guys on their own. And then often kind of queries this our database to look at the bubbles up because at the end of the day that's an easier case to prove Joanne and one of our papers had a nice quote from a former law enforcement official that said you know one of the things is you tend to prosecute easier cases. As the statement comes. And it helps kind of pause this other question why are we only catching one percent of the money right the money isn't isn't necessarily where we're looking but I mean these are quote unquote real financial criminals here is a graphical thing of just the amount of suspicious activity reports filed by depository institutions after Sarbanes of the patriot act of $911.00 we expanded the categories of filers but so this tries to hold for that constant you can see this radical increase particularly recently from 2015 to 2800 even if you say that's a when you're transitory it's going up about 3040 percent there are a couple theses one there's that much more crime going on too there's a ton of overreporting 3 there's a lot we were never reporting the right amount to begin with and there's some tension between these theses But let me offer an alternative and this gets back to my 1st point if you do everything you do nothing well if you're looking for a needle in a haystack we've really succeeded in throwing a lot of hay on the stack and the question again becomes this prioritization of quote unquote the real financial crime I like the way the that you set it and ask yourselves what is the central bank or somebody else who's in charge of monitoring am now what crime should they prioritize using their limited resources in terms of going after folks. And I want to go in zoom in on one type of financial crime that's exploded since 2015 that is so prevalent I think there are 4 operations. Within walking distance of this building the state of Michigan like. Many other states the point where one out of 5 Americans live in a state that have created state licensed cannabis notice I choose my words carefully here it is not legal cannabis the sale cannabis is illegal under federal law and a distinguished law professors far beyond me have pointed out that the theory of state notification is not as true in cannabis today as it was when James the Calhoun put forward in the United States it is a federal crime and the financial institutions are processing the sale of cannabis that is federally illegal it is a crime are these the real financial criminals are SARS the most effective way to catch them I knew the number of stores around here because there's a really easy way to find them it's called Google Maps. You if you really want to go to the state capital you can go and get a registry of all of the ownership you mentioned beneficial ownership which is a critical issue we had an event on that and Brookings. Carolyn Maloney has a bill that just has a lot of bipartisan support and I think it's important but this is actually an industry where the beneficial owners have licensed themselves at the state level and you can walk in any state capital and get the beneficial ownership registry for these activities easier than for anybody else are filing SARS really the most effective and efficient way and by the way here's an interesting fact the state of Michigan is driving significant revenue from this which they're deposited often in cash is a state of Michigan committing a financial crime. Colorado's deposited a $1000000000.00 in revenue since 2012 from their taxation and licensing fees etc from cannabis ironically state local governments are exempt from currency transaction reports or you would find a lot of these but on a broader level if you replace the state of Michigan with a large private person deriving revenue from contributions of the sale candidates when they be a financial group what does it mean for a state government to get a Sar filed by their bank because their bank by someone. And so I kind of flagged this because it also to me illustrates this question of we're using our am out to go after the wrong folk and when you preclude cannabis from banking which happens a lot what do you end up with you end up with cash on businesses which attract large amounts of crime by excluding them from the financial system you have created the a lot of crime that the voters are attempting to mitigate through decriminalization this is just as true for cannabis as it is for other people who seek to access the financial system and it gets to the final tension in my in my talk which. Revolves between this goal of using the financial system to catch bad guys which is an inclusive concept in which you actually want the criminals in the financial system so that the financial system can report. Right that is a more effective way than having the cash carried physically on airplanes and having t.s.a. try to find the physical money versus the idea of excluding the criminal systems because you don't want the criminals to ride the rails of our financial system and be able to benefit and conduct crime more easily because of banking and there's an inclusion exclusion tension in a paper I wrote with with Michael Barr and Karen Gifford we kind of take the I think belief that there is a win win outcome for enhancing financial inclusion through a m.l. reform that has to kind of core elements behind it one is more fully leaning into the idea of an inclusive financial services sector which then provides information to allow more efficient and effective law enforcement to catch the real financial criminals at the same time by enhancing financial inclusion reduces the real crime that occurs due to financial exclusion right because in a muzzles hierarchy of crime it's not clear to me that financial crime is better or worse than robbery assault other types of effect. In this situation. You can have tremendous savings of the amount of money spent tracking other types of financial crime or trying to exclude people from the system and Clouseau of that cost savings into more effectively and efficiently serving lower cost consumers one of the earlier panelist talked about the radical decrease of cost of onboarding customers due to technology from a m l And the final point and I'll close my presentation with this which is that most of the national financial regularly will not regulate but organizations fat if I as global coronations have a huge role to play in this because they can set standards that allow individual countries to harmonize and prioritize crimes in criminal activity to to to move Central Bank so as I think of what the central banks of the future will be plural I hope they will be working together with a common set of objective standards and goals in both financial inclusion and am now and have those divisions and core objectives more intertwined because a financial system that ng clued more people is a more effective way to reduce total some crime which is I think the policy purpose of all of this thank you thank you thank you thank you Alan. So I'm going to put you both on the spot I mean throw the script that we had out the window. And let's just talk because we already answered the 1st couple of questions we have had thought about outlining. So the bad news says the system we have now is not scalable there's no possibility that you could spend enough money to scale it up and make a dent in the problem the good news though as the engineer said it so well is that more data can be a solution to this if we can figure out how to manage it safely and accurately so what I want to ask you both is for starters if you. Could do one thing on the policy side thinking of yourself as a central bank of the future that had the ability to reform the system and that would impact financial inclusion as well as the crime what would be the most high impact thing we could do. Well I think I mentioned 2 already but if I had to pick one of them it's information sharing. And having an able lean those in the system who need it regulated institutions government to have the data at their disposal to understand the risk. And sharing that information shared cross border as we look at the world becoming more and more fractious more disputes between trade and other issues we see it playing out in the data realm as well and we see a rise in data nationalism I think that undercuts both the financial inclusion and. Financial Crime agenda. So to do that what is how would we go about that how can we share data more widely and safely so Aaron referenced the f.a. t.f. already and international standard setting body is a natural action task force. And so I should have been talking an acronym for you Don tried until right all right and I'm I will define all accidents for now so it's the international standards body for anti money laundering and countering the financing of terrorism. And pretty much every nation in Acts into law the standards that they set they have put some things out in guidance around information sharing but probably need to strengthen and I think central banks play a role in acting as that are included in that guidance and hopefully recommendations to an information Aaron so that I mean. This is tricky because there's some kind of lowing fruit solutions like beneficial ownership in the u.s. which is generally but I'm not trying to think think big I was motivated by the morning to you know to think think big I would try to solve. The identity issue I would try to have a globally excepted easily accessible form of identification. For this which I think would simultaneously do wonders for financial inclusion in terms of lowering cost to operate in reducing that long list of barriers and simultaneously reduce the cost of amyl compliance. Systems as well and I think that's a really deadly dish difficult problem I mean I'm reminded you know taking a provincial view of the United States your research has no federal benefits patient system beyond a social security number which I think is somewhat easily accessible for all of us in terms of hacked and leaked information and for the 38 percent of Americans who've chosen to get a passport your passport i.d. for the other 62 percent of Americans who don't have a passport that's it we have an identification system at the state level which is just a world of problems if you talk to. Those the physic a that fin tax that and to the in the sophisticated banks to they will tell you that the the rules that we have for identifying people also name address social security or other government issued numbered and so on that doesn't tell you anything you have you have to comply with that but then you have to go and actually gather the data to figure out who whether people really are who they say they are and where they I mean it's just it's a relic and it's it's. Putting together someone's identity so again for a bank in more than 60 countries and we often will bank someone in more than one country we often don't realize that we're banking the same person in more than one country once you put together the difficulties of identification and the elements that we piece together to to understand identification in data privacy laws we can even understand our own customers in more than than one jurisdiction you can imagine the frustration when you bank with us in the us and then you come to London and want to talk to us and we don't know who you are because we don't even understand you bank with us it's getting better I think it's you know. We and other institutions are doing more and more to piece together but it's nowhere near where it needs to be and then when you try to put in the ability to differential crime in that order or the ability to have a ball inclusion and bring costs down it's not what you would invent I think that it has digital id on their agenda this year. And China is chairing it this year so I know there's a lot of focus on whether there can be some progress on that front. Where the. Use of Vishy in learning and artificial intelligence come in to solving this problem we have all this data we can't we don't know what it's telling us there's too much of that it's an accurate nominal. How do you how are we going to use machine learning so we are thinking about it and we do use different elements of machine learning now. Amongst the different branches of artificial intelligence machine off look at the machine learning. All the natural language processing that is probably pretty important as well but in that space when we're trying to understand if a customer poses a financial crime risk we centrally want to know do you have any indicators red flag indicators that we know and governments have told us are indicators of you being a criminal so we want to look at that we want to know how is your activity changed over time and are there any anomalies that would suggest you're married geisha financial crime we want to know how you compare to your peers and if you're an outlier if you're a flower shop do you have a lot more money moving into your flower shop than any other flower shop kind of question and then we want to understand everyone you transact with and whether that tells us anything about your risk to put all of that information together and under with an overlay of what's the probability that you pose financial crime risk to us today we start needing to bring in machine learning to be able to do that it's skill to do it dynamically update number one to process the pure volumes but you don't have to have a machine learning to solve the volume problem but you do start doing those volumes around unsupervised techniques where you're looking for anomalies and outliers and so we use and are increasingly looking to use machine learning in those contexts which means that a big issue for us these days is that ethics. And watching what regulators and central banks and other governments are putting out there on the topic of data ethics I think Singapore's put out some interesting guidance in that respect and developing our own internal principles and practices to make sure that we're comfortable doing the things we do and I want to do with data. So. All of a little fun and kind of raised my concerns and flags on. An m. l. issues in part because the I think there are 2 core issues one is what is the machine the machine what is the machine trying to accomplishing goals right and m.l. are fantastic at finding new ways to accomplish a mission that wouldn't have occurred to you or I or a person right go was going to fix the movement go. Famous ai the game. Moves many things right on the other hand the machine beat him and. On the other hand we don't know what we want to accomplish out of a out of balance right when you said the flower shop the 1st thought that came to my mind was the slide behind me which is I know exactly who's selling flowers and generating an inordinate amount of money so one selling the cannabis flower. Everywhere I go you know that we don't have a system they could detect and find a lot of things that maybe you know maybe they could find a lot of Denny Hastert but they could potentially target those areas human resources to that question well perhaps we're a different way you could generate a tremendous number of false positives actually right and so that would improve the false positive front and but I take your point on the priorities so if you if you start to have an ability to find more financial crime faster and to understand in more detail what types of financial crime you're fine now you have an ability to take. Direction and pointing from governments that say you know what we only care this year we're going to focus on these types of financial crime give us anything that you bet. But let me let me for football a little bit in terms of proxying and discrimination in inclusion issues right you know if you take as a given people from a certain background or national origin or last name except for our higher risk. Right but you at a financial institution would never purposefully discriminate or have a process by which you say well we don't really want that kind of person because that's clearly an ethical getting back to your data ethics point now the air I am out says no no it's not that kind of person it's a person who subscribes to this you know totally weird thing or eats at this restaurant right so like Suppose you're really concerned about Somali people in Minneapolis and you know you're trying to figure it out and it comes to shop at this kind of grocery store and the ai flags is being correlated with being Somali and maybe the person sitting behind the desk on the other side of the world recognize that or maybe they don't and the institution starts to say Well look our customer base it's causing us a lot of cost as this can think from a male so was shy away from us not target our ads for services to people who shop at these stores so that's I think you're right does come really back to ensuring that we're thinking about the ethics in this both in terms of bias on the front I think you're speaking about this so what elements do you know be used to make a decision can you explain the decision was that was made you have explain ability around your models and then the outcomes regardless of whether you could do that are the outcomes still in some way by Mr discriminatory which can you can have that test the independent backtesting to look at in our discussion questions in the preconference yesterday one of them was would we support having central banks acting as the k y c You know your customer utility. And the central repository of data that could be adjusted. So here's where due to weather we have central banks came. Up so that there's no question. Whether we could do it. Should we should really I think there's a lot of positives actually so. The danger for central banks is the one of the many is the. Question of having to manage some of those risks of taking that service responsibility working through the conflicts of offering a service while also being for central banks that also are supervisors and regulators but those can be dealt with and thinking about I go back to one of our speakers earlier today saying how many tasks do you want central banks to take on should they be more narrow and focus should they take on several tasks I think those are some of the policy risks and challenges to think through but could a central bank do it would it be helpful to have a centralized utility in this sense a government backed central bank take on that responsibility I think you could show some promise so. I would I would tend to agree with all of those points I think there's a lot to be gained from it particularly as it as it would lower costs for industry as a stressed and central repository I do get a little concerned about the tension that Jennifer mentioned about the size of mandate but I also get concerned with another tension which is independence the central bank of the future to me needs to be an independent entity. In this conduct of monetary policy and if you're independent in one sense then you tend to be independent in others and if I'm a registry of all of my customers and I won't use the u.s. although I think one could easily see the a portability but suppose I'm in England and suppose this is a dystopian future like that show yours by yours and. You know they're trying to find all the people who illegally stayed after breakfast. And they want to go to the Know Your Customer or positive or even most the people who legally state are probably engaged in international money transmission because they stay because that's where their job was in their family and so do you know what happens when the Immigration Department calls up the central bank and says Give me your list How independent is the central bank how independent Do we want them to be from an m l national security government perspective and you know communities are smart if they know they're getting a bank account leads to potential threatens they'll leave the financial system and that's a tension. I would love for and I'm going to open this up to questions and secondly. I think that's a lot of interest and set of using an essential that a utility for k y c to adopt what people are calling the traveling algorithm leave the data decentralized and and create an algorithm that can go analyze it with in an encryption format keep it anonymized so that the machine doesn't need to see the words. That we need to see to look at information so you could potentially encrypted in a way that it doesn't create a central honeypot but there is a bill a day to go look for patterns of financial crime top type ologies machines often if they have enough data can recognize human trafficking looks different from jugs and so on so I want to ask you about blotches But I want to open it to the. To the group 1st and if we don't get questions I will ask you about the auction Chris. Christie going to get Foundation So before you enter philanthropy I was on the front lines writing enforcement actions against institutions that had failed to comply with u.s. laws and regulations and into my new laundry and often it wasn't necessarily that they had actually laundered money it was that they had fallen afoul of the standards that were specked it and those standards are quite high and demanding if we know that things are not working that well what in your minds are the biggest blocks to reforming them is it that there's a small group of people who think that actually the system works well and we need to push it harder or is it their fear of doing something different or are we afraid to think about new ways using using technology and so on but what do you think are the biggest blocks and that we should be focusing on. I think at the moment a lot of the energy is focused around optimizing the current way of stating regulatory compliance. Which is not focused on an outcome of identifying financial crime but is focused on an outcome of doing what my regulator expects sheep. So I think we need to really change collectively our mindsets around focusing on outcomes and using the technology and opportunities it provides to improve our outcomes all together on the kind of across edges across the whole system there's the fear of the change fear of the unknown What do you mean data has to be put in a cloud to give you the. Processing power to enable this kind of compute with sure how we feel about cloud yet what do you mean you need cross border information sharing we're not sure how we feel about that what is this Ai of which you speak I'm not sure I understand how it works and I've heard really scary terms like black box and unsupervised learning and that doesn't sound like anything that a regulator should be behind so there's a bit of a fear of the unknown I think there's a need to continue to to educate and to focus on what is the outcome we're truly trying to achieve. So I had this weird. Experience I was discussing this issue is somebody from law enforcement I was going on and on about the rise in SARS and he said well you know what your promise is so each of these is costly and there comes a point where the marginal cost exceeds the marginal benefit right I mean you know that's all an economist says repeatedly when posed with any question Norm or is it the marginal cost there's no cost to this and I said you you know and all of us again where do you think you came from is a lie doesn't cost you know it's in the database it's sitting there I can use it whenever I want it said no cost to me the more things in the database the better and that to me was the fundamental mindset problem which was from his perspective there was no marginal cost to additional SARS and from my perspective there's somebody out there who wasn't included in the financial system because the cost of on boarding him was greater than the expected economic return that that person's account would generate and I would add to I think you're exactly right in speaking with. Regulators and all regulators former colleagues now as a banker right on the other side. Hey there's just a lack of trust when banks say. The amount of money we're we're spending to produce this are isn't getting the outcomes yes we'd like to spend less money but let's not even start there let's just talk about putting money toward something that would have produced a better outcome more effective outcome there's so much suspicion as to the motivation of the financial industry that there's a fundamental mental failure in trust between 2 major players in a system that are meant to be working towards the same goal so there's certainly a challenge there to overcome one of the things I covered in my Harvard papers as this is the single most expensive compliance area and the most dangerous for the industry so it's a huge deterrent if that be the industry is not willing to take risk in this space and they're not willing to cut money even if it might be more effective for fear that the because that's having said that I'm I think it is going to change I think there's a sea change sweeping over us with people realizing that there's better tech we had questions questions over here to so. Your point about what kind of crime are we trying to. Solve for. I actually want to hear you to answer that question. I recognize this isn't necessarily a central bank question. But I want to posit the idea that if what we want out of this is not just to. Reduce the amount of or solve the amount of financial crimes but we want to figure out how to do it across border fashion because it's going to be more efficient and it cetera it seems to me that stopping terrorism. Is kind of a good. One to think about and it's part of the it's I would say the big reason why by at least in the us we've ended up where we've ended up right but terrorism is not it's clearly not a u.s. only problem and so I'd like to hear your perspective on that but also if you Jennifer just from your perspective you've also been saying that different kinds of crimes financial crimes have different kinds of patterns and I'm wondering whether you think that the way that SARS work today in the $10000.00 limit and all the rest of it if that's actually effective if we said we want to we want to focus on reducing terrorism and what we need to do if that were indeed the target what does that look like in terms of a trauma transactions perspective and behind the scenes perspective care terrorism fundamentally looks different it's changed. So. We had it time period where you had. Financing and. Big finances of terrorism that came external to the group then you had groups that took over territory and earned their own money from the populace and took money from by breaking banks etc breaking in actually taking cash out of banks which is a fundamentally different funding model and then you have the problem of of terrorist fighters people who travel all around the world to engage. In terrorism and so each of those has a different kind of financial footprint to them. Generally speaking if I was going to talk about what's the best how should we change the c.t.r. to help with with terrorist finance I would say go to a 0 threshold and vote and give international transfers at a 0 threshold provide that data it's something that already happens in Australia Canada has a 1000 does the same thing but has a $1000.00 threshold but I want to say a bacteria initial question is is that in fact the top crime we should be focused on it's it's scary it takes lives it has political impacts but it's pretty low incident what about fraud fraud hits almost everyone about elder abuse and people who lose their money through fraud that's high volumes of folks who experience that should we focus there instead what about corruption and grand corruption in where you have nation states that fail because high level political officials loot the country dry and move that money abroad should we focus our efforts there I think there's a number of good places. But I agree you can't be everything to everyone so if we really want to make an impact for good I do think it would be helpful to have governments prioritize I think central banks can play and stimulating that conversation because you need to bring together policy me. Enforcement Security Services regulators into a conversation to be willing to set forth a combined view of what the priorities are which is you know never an easy thing so. Corruption is valid I debate I think the next person and to my slide show is palm in a fort. Hood I think 9 shell companies in Delaware without beneficial ownership and also among the other crimes that again one of the reasons is such a powerful tool for law enforcement is whatever you think about what manna for did the easiest crimes to commit convict him of were the ones where it was just very very clear illegal use of money is what we have disease money laundering has become a tool for almost all generic forms of law enforcement for all wide set of potential crimes because it is far more cut and blank than things about tendon and other areas elder abuse is a big deal I think I had a star filed on me for elder abuse this year which was a in the last sort of point in a totally separate story but I'm glad they filed frankly. Kind of waiting for somebody to call me and investigate the situation they tipped you off yeah yeah you know that and tell you I can't be positive but I bet if you go where the database will show up in it and that's actually the proper one of the promises that fit my category of crimes that have been occurring but nobody been reporting I don't think I think the rate of elder abuse was constant through that time horizon yes demographically we've had an increase the number of elders but there's been a hockey stick of fire. Ling's on it that being said. It's unfair to ask me to answer my own question but I will which is that number one is terrorism but I think Jennifer's point is right terrorism isn't necessarily 911 I think the same Bernardino shooter could have been found in a traveling if the traveling outer of them were running around here you know each of it here's a person maxing out all these weird sources of credit and then wiring all this money $1.00 way to Saudi Arabia and then you know a while going to a gun store and all these different from the financial thing that came out of that from the limited amount I saw in real time because the other question is do you want to use amyl to prevent. The crime which is akin in terrorism I think we're trying to prevent this kind of Minority Report style very different than the other ones we're trying to somewhat catch rightest of as currently said and Alan terrorism space it is an after the fact reporting system it is not live fraud fraud payment screening like you when you get the text is that really you buy a sweater at the store that's that's live screen sanctions screen is live but I am Alan's So I would also posit that the incidence of San Bernardino type terrorists may be higher in the future than the other I could be wrong number to be sex trafficking I just that's a model's hierarchy personal choice you know in terms of you know crime number 3 would be high net worth tax of age I say that as a public finance economist who you know you want to raise revenues efficiently as possible and then spend revenue for valuable purposes there's a lot of high net worth tax evasion the a mail system I think the audit rate is is no equal for the bottom 10 percent of income as it is for the top one right at the barge no benefit to society to catch a billionaire cheating taxes versus you know somebody earning minimum wage I think you generate a tremendous amount of revenue that could be used for other social good and purposes. But that that would be my 3 but that's a policy choice and I'm not sure the central bank is the entity that we should have in our political system to break those 3 over a plethora of other positions organized crime for example I'm going to say I think we're going to take one more hour that Ok go ahead I don't know the history of this field so I'm just curious how we came here I was grappling with the 1st principles question in the field of privacy if you have a very important concept that. Liberal democracies do not run mass surveillance systems the United States government would not be able to screen every e-mail or every text message or run searches incited or stored copies of it you would need a law enforcement agent would need a warrant to go into Palm and afford e-mail and that would be based on some other information that you'd have to show a judge and you've got that whole machinery of privacy why do we not see any of that around finance Why are we running a massive billing system on fine. I think it's a great question and it's definitely. Policy makers choice on where they wanted the set a balance on the spectrum between data privacy at one end of a spectrum and security at the other and we've seen that we're different countries and communities come out on that issue change over time in a come across different ends of that spectrum and certainly in response to 2 different problems when something really bad happens on the security front we move towards greater security and more surveillance requirements on financial institutions when we have significant data privacy concerns of Post Snowden Something like to that effect then it moves the other direction but those are policy choices made by governments that financial institutions. Are required to implement So one reason I support raising the currency transaction threshold to it's indexed amount which is somewhere between $50.00 to $60000.00 depending on what you want to index it for. Is exactly that which is this question about what level of information should be allowed to be found what level right because ultimately this is an incredibly powerful tool for conviction purposes I mean people can do structuring of financial situations and somewhat unknowingly one of the one of the examples of somebody didn't make all fame is Bob Dole Bob Dole got caught for structuring at Briggs bank those of you who know Washington this was like the preeminent Abraham Lincoln's bank and Bob Dole for whatever reason Sarah don't like cash and bank ultimately went down over an a m l violation essentially they got bought by by competitor but I think it was Saudi Arabia or something some middle east country they were doing some really bad stuff like there's some really bad stuff but in this deep dive they came out it turned out the Bob Dole like to have cash in every Friday you withdrew like a 1000 bucks every other Friday. And if you go to the bank it would draw $8000.00 consistently over 10 years you were supposed to be filed on but the bank looked at the Senate majority and minority leader as if we're not going to file us are on this powerful senator who you know I think we can all realize just happen to pay for things in cash right and so this kind of history of it in the judgment of it is gets to be very tricky and I don't think there's enough of your voice in that position being heard in the general debate and instead there's a tremendous amount of the the Sardou base is free for me but as much as you can there because I you know could use it to stop the next 911 or stop catch some really bad guy or girl from law enforcement tells us that the average price to buy a human being in the United States is $7000.00 that's under the sea to I so this has been a fantastic discussion I think we're going to have to figure out how to use this data it's going to get used mission is how are we going to regulate that make it safe have due process around the use of that but I think these are just the urgent questions of our time and I cannot thank you both so much for all your comments so please join and thank you thank you.