artificial intelligence | Gerald R. Ford School of Public Policy
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artificial intelligence

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News

Hassan awarded U-M anti-racism grant

Sep 10, 2024
Ford School assistant professor Yousif Hassan has been chosen for a University of Michigan research grant for his work that explores how AI innovations and data can center social justice and address racial and economic inequalities in African...
News

STPP weighs the costs of new policing technologies

Aug 20, 2024
Policing technologies are increasingly being used to surveil the public with the stated goal of making communities safer and decreasing crime.New policy briefs from the Ford School of Public Policy’s Science, Technology, and Public Policy program...
News

STPP awarded MIDAS grant to advance equitable AI research

Jul 23, 2024
A research project from the Ford School’s Science, Technology, and Public Policy (STPP) program was selected by the Michigan Institute for Data and AI in Society (MIDAS) as part of its 2024 Propelling Original Data Science grants to accelerate...
State & Hill

Meet new assistant professor Yousif Hassan

Apr 24, 2024
Expert in AI, equity, and science and technology studies joins the facultyMy story has been shaped by many lived experiences at different events and places,” says Yousif Hassan, who, after seeing members of his family safely conveyed from war-torn...
News

Bold AI policy proposals awarded at Ford + Munk case competition

Apr 22, 2024
 Fifty-one students engaged on pressing AI-related policy questions during this spring’s Ford+Munk case competition. Held annually, the Ford+Munk conference has students from the Ford School and the University of Toronto’s Munk School of Global...
News

Ford School welcomes Yousif Hassan as faculty

Aug 21, 2023
Yousif Hassan will join the Ford School faculty as an assistant professor in January 2024. Hassan’s work examines the social, economic, and political implications of emerging technologies including artificial intelligence (AI) and data focusing on...
In the Media

AI will 'turbocharge' inequalities in health care - Parthasarathy

Mar 16, 2023 Bridge Michigan
Shobita Parthasarathy, Bridge Michigan: "Health care systems don't even know what data they're missing. That (AI) gets integrated into medical care as a mechanism for achieving efficiency. But they do that without realizing that it's going to...
In the Media

Parthasarathy on AI technology perils

Feb 28, 2023 Business Insider
Business Insider: Run-ins with users show some of the potentially troubling outcomes to expect when companies experiment with the public on new AI technologies, said Shobita Parthasarathy, a public policy professor at the University of Michigan, who...
In the Media

Parthasarathy weighs in on implications of ChatGPT

Feb 6, 2023 Nature
Shobita Parthasarathy, Nature: "Besides directly producing toxic content, there are concerns that AI chatbots will embed historical biases or ideas about the world from their training data, such as the superiority of particular cultures, says...
News

Parthasarathy discusses implications of Large Language Models

Nov 7, 2022
Large Language Models (LLMs) are artificial intelligence tools that can read, summarize and translate texts and predict future words in a sentence letting them generate sentences similar to how humans talk and write. Shobita Parthasarathy, professor...
Publication

Green discusses "substantive algorithmic fairness"

Oct 19, 2022
Ford School assistant professor Ben Green, and an affiliate of the Berkman Klein Center for Internet & Society at Harvard University, says that if algorithms are to improve society, focusing only on whether they’re mathematically “fair” won’t get us...
News

What's next in a post-pandemic economy? - Stevenson

Aug 3, 2021
As the economy and world attempts to return to normal with the help of the COVID-19 vaccine, a new normal -- from social norms to remote work -- is emerging. Betsey Stevenson, professor of public policy and economics, recently spoke with Project...
News

Green takes a look at tech ethics

Jun 15, 2021
Technology companies have been at the center of many public controversies recently—from hacking threats and data security to fake news and manipulating algorithms. Do the ethics of technological advancement—"tech ethics"—have any influence on the...

Dean's Symposium - The AI Bill of Rights and the Future of Technology Policy

Apr 11, 2024, 3:15 pm EDT
Joan and Sanford Weill Hall Annenberg Auditorium (1120)
A wide-ranging discussion with technologist Alondra Nelson, reflecting on her time in the White House, her role as a social scientist involved in shaping science and technology (and particularly AI), her insights into the policy process, and specifically her work on the open access and AI Bill of Rights initiatives. 
Watch live from this page

The Future of US Intelligence 20 years after 9/11

Apr 10, 2024, 4:00-5:00 pm EDT
Betty Ford Classroom (Room 1110) Joan & Sanford Weill Hall
Join us for a fireside chat with Charles Luftig, Deputy Director for National Intelligence Policy and Capabilities, as we commemorate the 20-year anniversary of the Intelligence Reform and Terrorism Prevention Act (IRTPA). Moderated by Javed Ali, this conversation will explore current intelligence and envision a future shaped by advances in technology like open source intelligence, social media, artificial intelligence, and language learning models.
STPP Lecture Series

Robocalypse Now?: Technology and the Future of Work

Sep 11, 2017, 4:00-5:30 pm EDT
1110 Weill Hall
The process of technological displacement of workers began in the automobile industry in the 1960's, and with the rise of connectivity and AI it is accelerating rapidly.
Ford School
STPP Lecture Series

Post-Human Creativity: A Conversation

Mar 25, 2019, 4:00 pm EDT
Library Gallery, Hatcher Graduate Library
Join us for a live, unrehearsed, interdisciplinary conversation with faculty from diverse perspectives to explore the idea of Post-Human Creativity.
Ford School

FinTech Panel 2: Market Innovations (Day 1)

Nov 16, 2017 1:21:18

This panel analyzes market innovations in high-frequency trading, machine learning, and artificial intelligence. Panelists will explore market efficiency, fairness, investor protection, and systemic issues.