AI Now 2018 Report - AI Now Institute
webCredibility Rating
High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: AI Now Institute
A flagship annual report from a leading AI policy research institute; useful for understanding societal and governance dimensions of AI deployment, particularly in public sector contexts, though less focused on technical AI safety or existential risk.
Metadata
Summary
The AI Now Institute's 2018 annual report provides a comprehensive examination of the social implications of AI, covering topics including algorithmic accountability, facial recognition risks, AI in public sector services, and the concentration of power in a few large tech companies. It offers policy recommendations aimed at increasing transparency and accountability in AI systems deployed in consequential domains such as healthcare, criminal justice, and public services.
Key Points
- •Calls for government agencies to halt use of high-risk AI systems (e.g., facial recognition, affect recognition) in public services pending independent oversight.
- •Highlights dangers of concentrated AI power in a few large corporations, warning of monopolistic control over AI infrastructure and talent.
- •Recommends mandatory impact assessments and audits for AI systems used in critical public domains like criminal justice, education, and healthcare.
- •Identifies lack of diversity in AI research and development as a driver of systemic bias and harmful outcomes for marginalized communities.
- •Documents growing resistance from AI workers and civil society demanding ethical guidelines and restrictions on harmful AI applications.
1 FactBase fact citing this source
| Entity | Property | Value | As Of |
|---|---|---|---|
| AI Now Institute | publication | AI Now 2018 Report — expanded analysis of AI accountability gaps, bias in automated decision systems, and surveillance technologies | 2018 |
Cached Content Preview
AI Now 2018 Report - AI Now Institute At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem, and provides 10 practical recommendations that can help create accountability frameworks capable of governing these powerful technologies. AI Now 2018 Report Download Cite as: Crawford, Kate, Roel Dobbe, Genevieve Fried, Elizabeth Kaziunas, Amba Kak, Varoon Mathur, Rashida Richardson, Jason Schultz, Oscar Schwartz, Sarah Myers West, and Meredith Whittaker. AI Now 2018 Report. New York: AI Now Institute, 2018.
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