AI Now 2019 Report - AI Now Institute
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Annual report from the AI Now Institute, a leading research center on AI's social implications; relevant for understanding governance gaps and near-term AI harms in deployed systems, complementing longer-term safety concerns.
Metadata
Summary
The AI Now Institute's 2019 annual report examines the social and political implications of artificial intelligence, focusing on issues of accountability, bias, labor, and governance. It documents how AI systems are being deployed in high-stakes public domains like healthcare, criminal justice, and education, often with inadequate oversight. The report provides policy recommendations for regulating AI and increasing transparency.
Key Points
- •Calls for moratoriums on facial recognition and other biometric surveillance technologies in sensitive public contexts due to demonstrated bias and misuse risks.
- •Documents how AI systems in government and public services amplify existing inequalities, particularly affecting marginalized communities.
- •Argues for stronger regulatory frameworks and accountability mechanisms for AI deployed in high-stakes decision-making.
- •Highlights the concentration of AI power in a small number of large tech companies as a structural problem requiring antitrust attention.
- •Recommends mandatory impact assessments and algorithmic auditing for AI systems used in public sector applications.
1 FactBase fact citing this source
| Entity | Property | Value | As Of |
|---|---|---|---|
| AI Now Institute | publication | AI Now 2019 Report — focused on facial recognition regulation, algorithmic accountability legislation, and climate impacts of AI | 2019 |
Cached Content Preview
AI Now 2019 Report - AI Now Institute From tenant rights groups opposing facial recognition in housing to Latinx activists and students protesting lucrative tech company contracts with military and border agencies, this year we saw community groups, researchers, and workers demand a halt to risky and dangerous AI technologies. AI Now’s 2019 report spotlights these growing movements, examining the coalitions involved and the research, arguments, and tactics used. We also examine the specific harms these coalitions are resisting, and offer 12 recommendations on what policymakers, advocates and researchers can do to address the use of AI in ways that widen inequality. AI_Now_2019_Report Download Cite as: Crawford, Kate, Roel Dobbe, Theodora Dryer, Genevieve Fried, Ben Green, Elizabeth Kaziunas, Amba Kak, Varoon Mathur, Erin McElroy, Andrea Nill Sánchez, Deborah Raji, Joy Lisi Rankin, Rashida Richardson, Jason Schultz, Sarah Myers West, and Meredith Whittaker. AI Now 2019 Report . New York: AI Now Institute, 2019.
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