Research Guides: Weapons of Math Destruction (First Year Read, 2021): Big Data &amp; Justice: Further Resources

Justice and AI: Further Resources

Understand, Manage, and Prevent Algorithmic Bias by Tobias Baer
Call Number: Ebook
ISBN: 1484248848
Publication Date: 2019-06-08

AI Now
The AI Now Institute produces interdisciplinary research on the social implications of artificial intelligence and acts as a hub for the emerging field focused on these issues. Currently, research focuses on four key domains: rights and liberties, labor and automation, bias and inclusion, and safety and critical infrastructure.
Algorithmic Justice League
AJL’s mission is to raise public awareness about the impacts of AI, equip advocates with empirical research to bolster campaigns, build the voice and choice of most impacted communities, and galvanize researchers, policymakers, and industry practitioners to mitigate AI bias and harms.
Algorithm Watch
AlgorithmWatch is a non-profit research and advocacy organization that is committed to watch, unpack and analyze automated decision-making (ADM) systems and their impact on society.
Black in AI
Black in AI increases the presence and inclusion of Black people in the field of AI by creating space for sharing ideas, fostering collaborations, mentorship and advocacy.
Data & Society
Data & Society is an independent nonprofit research organization. They believe that empirical evidence should directly inform the development and governance of new technology. They study the social implications of data and automation, producing original research to ground informed, evidence-based public debate about emerging technology.
Data & Society Library
Use Data & Society's library to explore original empirical research and read expert commentary. (Contains academic research articles, blog posts, podcasts, books and chapters, videos, etc.)
Data Justice Lab
The Data Justice Lab examines the intricate relationship between datafication and social justice, highlighting the politics and impacts of data-driven processes and big data.

Weapons of Math Destruction (First Year Read, 2021)

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