Using Machine Learning To Combat Human Trafficking

Hamsa Bastani discusses key findings from her research on how deep web data and machine learning can help law enforcement agencies investigate and intervene in human trafficking in Wharton Social Impact’s “Research Spotlight” series.

Operations Information and Decisions

Social Norms for Algorithms

Anita Allen receives 2022 Berkeley Center for Law & Technology Privacy Award

Congratulations to Anita Allen, who has received the 2022 Berkeley Center for Law & Technology (BCLT) Privacy Award. The award was presented at the 10th Annual BCLT Privacy Law Forum, which virtually convened more than 500 privacy law specialists bridging academia and practice.

Law
Philosophy

Social Norms for Algorithms

Clinician peer networks remove race and gender bias

A recent study published in Nature Communications offers striking evidence that network science can be used to remove race and gender bias in clinical settings. The research, led by Damon Centola, offers an effective new way to ensure safer, more equitable health care for women and minorities through managing clinician peer networks.

Communication
Sociology

Social Norms for Algorithms

‘The passionate pursuit of social justice’

This Penn Today article examines how the School of Social Policy & Practice addresses social inequities through research, featuring Ezekiel Dixon-Román’s work on structural racism, specifically how algorithms reaffirm theories of difference that are rooted in a white supremacist agenda.

Social Policy

Social Norms for Algorithms

Now That Machines Can Learn, Can They Unlearn?

Privacy concerns about AI systems are growing, so researchers are testing whether they can remove sensitive data without retraining the system from scratch. Aaron Roth comments on machine unlearning in this Wired article.

Computer and Information Science

Social Norms for Algorithms

Penn Engineers Help Launch TILOS, a New NSF Artificial Intelligence Research Institute Focused on Optimization

Through a $20 Million grant, the National Science Foundation has established the Institute for Learning-enabled Optimization at Scale, or TILOS. As one of TILOS’ partner institutions, Penn Engineering will contribute to its research on how algorithm-based systems can learn and improve upon themselves as they work.

Electrical and Systems Engineering
Mechanical Engineering and Applied Mechanics

Social Norms for Algorithms

The Question Medical AI Can’t Answer

A good clinician consultant should be able to explain why they arrived at a particular recommendation. Unfortunately, modern AI algorithms are rarely able to provide an answer to the question of why they think an answer is a good one. Jason Moore addresses the use of AI in health care in this Scientific American op-ed.

Biomedical Informatics

Social Norms for Algorithms

3 questions with Michael Kearns: Designing socially aware algorithms and models

Amazon Science spoke to Michael Kearns about the upcoming Machine Learning Summit and exciting recent developments in socially aware algorithm design.

Computer and Information Science

Social Norms for Algorithms

Michael Kearns and Diana Mutz elected to the National Academy of Sciences

As newly elected members of the U.S. National Academy of Sciences, Michael Kearns and Diana Mutz join a class of honored scholars recognized for their unique and ongoing contributions to original research.

Communication
Computer and Information Science
Political Science

Social Norms for Algorithms

Prof. Coglianese contemplates a future of digitally automated government

In a new paper, Cary Coglianese considers a key question raised by government agencies’ increased use of digital automation powered by artificial intelligence: Can U.S. administrative law accommodate a future in which most government functions are automated?

Law
Political Science

Social Norms for Algorithms

News

Using Machine Learning To Combat Human Trafficking

Anita Allen receives 2022 Berkeley Center for Law & Technology Privacy Award

Clinician peer networks remove race and gender bias

‘The passionate pursuit of social justice’

Now That Machines Can Learn, Can They Unlearn?

Penn Engineers Help Launch TILOS, a New NSF Artificial Intelligence Research Institute Focused on Optimization

The Question Medical AI Can’t Answer

3 questions with Michael Kearns: Designing socially aware algorithms and models

Michael Kearns and Diana Mutz elected to the National Academy of Sciences

Prof. Coglianese contemplates a future of digitally automated government