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AI and the transformation of social science research
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Explainable Goal-driven Agents and Robots - A Comprehensive Review | ACM Computing Surveys
Why AI Will Save the World | Andreessen Horowitz
Schitt, L. (2021). Mapping global AI governance: a nascent regime in a fragmented landscape
Feldstein, S. (2019). How Artificial Intelligence is Reshaping Repression
Assessing the impact of regulations and standards on innovation in the field of AI
Trust within human-machine collectives depends on the perceived consensus about cooperative norms
Good, I. J. (1966). Speculations concerning the first ultraintelligent machine. In Advances in computers (Vol. 6, pp. 31-88).
Model evaluation for extreme risks
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Generative AI at Work
Characterizing Manipulation from AI Systems
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery | Journal of Artificial Intelligence Research
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Researching Alignment Research: Unsupervised Analysis
AI in Hiring and Evaluating Workers: What Americans Think
How to design an AI ethics board
A pro-innovation approach to AI regulation
AI Risk Skepticism, A Comprehensive Survey
Three lines of defense against risks from AI
Text revision in Scientific Writing Assistance: An Overview
The growing influence of industry in AI research
Generative ai hai perspectives
Counterfactual harm
Must read: the 100 most cited AI papers in 2022
Testing AI performance on less frequent aspects of language reveals insensitivity to underlying meaning
AI and Neurotechnology: Learning from AI Ethics to Address an Expanded Ethics Landscape
New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments