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WHY IT MATTERS
Automated decision-making has the unprecedented power to disseminate bias at scale. As humans increasingly outsource our autonomy to machines, algorithms are already being deployed to decide what information we see, who gets hired, who gets health care, and who gets undue police scrutiny. As artificial intelligence moves out of the data science labs and into the real world, bias has the potential to be deployed at scale. There’s a real danger that without proper training on data evaluation and spotting the potential for bias in data, vulnerable groups in society could be harmed or have their rights impinged. A.I. also has intersectional implications on criminal & racial justice, immigration, healthcare, gender equity and current social movements.
LEARN MORE
Facing the Realities of Facial Recognition Technology: Recommendations for Canada’s Privacy Act
Facial Recognition Technology Policy Roundtable: What We Heard. Cybersecure Policy Exchange and Tech Informed Policy.
Improving Social Media: The People,Organizations and Ideas for a Better Tech Future
Learn more about Emotion Recognition Tech
Learn about the use of algorithmic decision making tools in pre-trial risk assessments
Global Partners Digital, Recommendations for Advancing Human Rights and Social Justice in the Post-2020 Era
Derechos Digitales, Reports on Artificial Intelligence and Inclusion across Latin America.
Mass Extraction:
The Widespread Power of U.S. Law Enforcement to Search Mobile Phones
Civil Rights, Privacy and Technology, Oversight Agenda