AI Now Institute

Apr 13, 2023

Our Research Areas

Algorithmic Accountability

An emerging AI Accountability template runs the risk of entrenching power within the tech industry, and undercuts structural solutions.

Global Digital Trade

Global trade laws are typically negotiated in secret and without public deliberation, and have become a focus for intense tech industry lobbying for preferential treatment.

Biometrics & Affect

Despite mounting evidence of harm and untested scientific claims, biometric systems are still quietly proliferating.

Data Minimization

Data minimization policies – bright line rules that prohibit excessive or harmful data collection and use – are a tool for AI accountability.

Privacy & Competition

Regulating Big Tech’s data advantage.

See All Our Research Areas

Our Publications

See all

Our latest publications connect a set of themes that all point to the same challenge: confronting tech power.

General Purpose AI Poses Serious Risks, Should Not Be Excluded From the EU’s AI Act | Policy Brief

AI Now Institute

Amba Kak

Sarah Myers West

Apr 13, 2023

Disordering Datasets

Varoon Mathur, Caitlin Lustig, and Elizabeth Kaziunas

Nov 11, 2022

Algorithmic Accountability for the Public Sector – Report

AI Now Institute, Ada Lovelace Institute and Open Government Partnership

Aug 17, 2021

Regulating Biometrics: Global Approaches and Open Questions

AI Now Institute

Amba Kak

Sep 1, 2020

Discriminating Systems: Gender, Race, and Power in AI – Report

AI Now Institute

Sarah Myers West

Apr 1, 2019

Confronting Black Boxes: A Shadow Report of the New York City Automated Decision System Task Force

AI Now Institute

Rashida Richardson

Dec 4, 2019

AI Now 2018 Report

AI Now Institute

Dec 6, 2018

Latest Series

Read our latest research series

Series

China in Global Tech Discourse

An essay series exploring the myths, realities, actors, and incentives underpinning dominant China tech and AI narratives.

Series

A New AI Lexicon

In January 2021, we launched ‘A New AI Lexicon:’ a call for contributions to generate alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI.