Announcements

Facial Recognition Technology (Part III): Ensuring Commercial Transparency & Accuracy

Learn more about the steps Congress should take to mitigate the harmful effects of AI and facial recognition tech.

Community Forum on Algorithmic Bias

AI Now and several other organizations partnered with NAACP Legal Defense and Educational Fund (LDF) to host a Community forum on algorithmic bias in connection with the publication of Confronting Black Boxes: A Shadow Report on the New York City Automated Decision System Task Force.

2019 Symposium

The fourth annual AI Now Symposium provided behind-the-scenes insights from those at the frontlines of the growing pushback against harmful AI. Our program featured leading lawyers, organizers, scholars, and tech workers, all of whom have engaged creative strategies to combat exploitative AI systems across a wide range of contexts, from automated allocation of social services, to policing and border control, to worker surveillance and exploitation, and well beyond.

AI Vulnerabilities: An Integral Look at Security for AI

This workshop convened both practitioners from the more traditional software security world, and those developing AI systems, researchers studying AI security and vulnerability, and researchers examining the social and ethical implications of AI. AI systems can be exploited by a variety of triggers, from outright adversarial attacks, to bugs, to simple misapplication. Given the proliferation of AI systems through sensitive social domains it is important to understand not simply where and how such vulnerabilities occur (and our capacity to predict such vulnerabilities) throughout the “stack,” but what their implications might be within a given context of use. This workshop explored the link between technical research and practice examining security and vulnerability, and research looking at AI bias and fairness. Our hope was to expand the current discussion of security and bias to account for AI's technical capabilities and failings, how these might manifest in harm when exploited in practice, and what cross-sectoral efforts might be needed to contend with these risks.

Gender, Race, and Power in AI: A Playlist

Videos from the AI Now 2018 Symposium

Ethics, Organizing and Accountability

2018 Symposium

The AI Now 2018 Symposium addressed the intersection of AI, ethics, organizing, and accountability–examining the landmark events of the past year that have brought these topics squarely into focus. What can we learn from them and where is there more work to be done?

AI Now Law and Policy Reading List

AI Now 2018 Symposium

This year’s program will address the intersection of AI, ethics, organizing, and accountability – with speakers including Philip Alston, Sherrilyn Ifill, Lucy Suchman, Virginia Eubanks, Kevin De Liban, Vincent Southerland, Timnit Gebru, Nicole Ozer, and Marisa Franco.

ACLU Podcast: How to fight an algorithm

What does all this mean for our civil liberties? And how can the public exercise oversight of a secret algorithm? AI Now Co-founder Meredith Whittaker discusses this brave new world — and the ways we can keep it in check.

You and AI – Machine learning, bias and implications for inequality

Cofounder Kate Crawford delivers a keynote address at the Royal Society in London as part of the "You and AI" series.

Litigating Algorithms Workshop

AI Now partnered with NYU Law’s Center on Race, Inequality and the Law and the Electronic Frontier Foundation to host a first of its kind workshop that examined current United States courtroom litigation where the use of algorithms by government was central to the rights and liberties at issue in the case. Learn more by reading a summary of the workshop along with a report of our key takeaways.

Litigating Algorithms

AI Now teamed up with NYU Law’s Center on Race, Inequality and the Law and the Electronic Frontier Foundation to conduct a deep examination of current United States courtroom litigation where the use of algorithms by government was central to the rights and liberties at issue in the case.

AI and Ethics: People, Robots and Society at Transformers: Artificial Intelligence | Washington Post Live

The Trouble with Bias

Cofounder Kate Crawford delivers a keynote address at NIPS 2017, highlighting issues with bias across the field of AI.

Studying Artificial Intelligence At New York University

New York University just opened an institute that studies the social implications of artificial intelligence. NPR’s Linda Wertheimer talks with co-founder Kate Crawford.

AI Now 2017 Report

With support from the John D. and Catherine T. MacArthur Foundation, the AI Now Institute is happy to release our 2nd annual report, outlining the state of current research, what's at stake, and a set of key recommendations for the field.

This Moment in Artificial Intelligence