#AI industry and researchers sign statement warning of ‘extinction’ risk https://
cnn.it/3C0kqBB #ethics #FutureofWork
REGULATION
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AI Industry Leaders Warn of Existential Risks from Advanced AI
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Algorithm Auditing: History, State, and Best Practices
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AI systems pose black-box decision-making challenges, leaving researchers, users, and regulators grappling with a technology they can’t fully observe. This brief reviews the history, current state, and best practices of algorithm auditing.
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AI, Justice and Safety: Ada Lovelace Institute Leadership
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The interconnectedness of AI, justice and safety requires a forward looking and holistic vision for sociotechnical research, community engagement and policy insights, and I’m excited to join the board of the Ada Lovelace Institute to help strengthen its leadership and impact
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Stanford scholars recommend fairness training for decision-making algorithms
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Algorithmic decisions based on fairness may not always lead to equitable or desirable outcomes. In a new paper, HAI faculty affiliate @JulianNyarko and other Stanford scholars offer recommendations for training algorithms to assist in decision making.
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Congressional AI Boot Camp Year 2 Concludes with Policy Resources
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That’s a wrap on our 2nd year of the congressional boot camp on AI! Thanks to all the dedicated congressional staffers and the high caliber of speakers who joined us over the past 3 days. For more resources on AI policy, check out our publications here: https://
hai.stanford.edu/policy/policy-
publications
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13 Principles for Using Artificial Intelligence Responsibly
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13 Principles for Using AI Responsibly
#AI #AIio #BigData #ML #NLU #Futureofwork @ahier @guzmand
@DavidBrin @denisegarth @dez_blanchfield @diioannid @DioFavatas @gerald_bader http://
ow.ly/Ajm530swABc -
DARPA AI Cyber Challenge: Technology Partner Fixing Infrastructure Vulnerabilities
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We are a technology partner in @DARPA
's AI Cyber Challenge — an initiative to fix vulnerabilities in critical infrastructure: -
Stanford Scholars Address AI Fair Use and Legal Challenges
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As AI tools continue to advance in capabilities and scale, they challenge the traditional notions of fair use and pose complex legal issues. Stanford scholars offer recommendations to address this growing concern.
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Artificial Intelligence And The Law: An Early Warning
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Artificial Intelligence And The Law: An Early Warning
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
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AI and Power: Ethical Challenges of Automation and Centralization
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https://
bit.ly/2wqaIXz – AI and Power: The Ethical Challenges of Automation, Centralization, and Scale https://
bit.ly/3OiO1eY #AI #MachineLearning #DeepLearning #LLMs #DataScience