Hinton winning the Nobel Prize in Physics: "We should be working hard now to make sure that [AI] doesn't take control away from people. Because what we care about is people. The best young researchers should be putting a lot of effort into that now."
ETHICS
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Hinton discusses AI history and future implications
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Less than a year ago, @geoffreyhinton and I had a public discussion about #AI’s history and its implications of the future.
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Physics Nobel Prize 2024 Honors AI Applications and Hinton’s Work
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Interestingly this year's physics Nobel prize is on use of Physics in AI. nobelprize.org/prizes/physic… One book which covers in detail the work of Prof. Hinton is by @cademetz and it's an easy and entertaining read. #NobelPrize2024 #NobelPrize
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AI News: Smart Glasses, Enterprise Tools, Jobs
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Top stories in AI today: -Students turn smart glasses into doxing devices
-Inflection and Intel team up on enterprise AI
-Generate a cover letter with Claude
-Checklists improve AI model evaluation
-5 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/smart-glasse
s-dox-strangers
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AI Override Authority Boosts Employee Motivation and Job Satisfaction
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University of Auckland researchers discovered that giving employees the power to override AI decisions from day one increases motivation, learning and job satisfaction. This approach, combined with performance incentives, maximizes productivity and efficiency.
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FAccT Conference Programme Chairs Announce Call for Papers
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I’m honoured to be one of the @FAccTConference Programme Chairs this year, alongside the amazing @jennwvaughan @sinafazelpour @TaliaGillis and we’ve been hard at work already. The CFP is coming soon, but the key dates everyone are now set. Happy paper planning
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Safe Reinforcement Learning: Methods, Theories and Applications Review
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A Review of Safe Reinforcement Learning: Methods, Theories and Applications https://
ieeexplore.ieee.org/abstract/docum
ent/10675394
… https://
github.com/chauncygu/Safe
-Reinforcement-Learning-Baselines
… This paper provide a review of safe RL from the perspectives of methods, theories, and applications. -
Researcher Declines Co-authorship on AI Paper Correction
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Indeed, and we invited @strubell to be a co-author with us on http://
arxiv.org/abs/2104.10350 that corrects the calculations done in the original paper, but she declined. -
Debiasing Large Language Models with Synthetic Data Pipeline
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We are excited to share our latest work on debiasing large language models, accepted to COLM 2024 We introduce a lightweight, simple pipeline using ChatGPT to generate synthetic data for debiasing open-source LLMs through parameter-efficient fine-tuning. Our method outperforms
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Journalist Calls for Detailed Environmental Impact Information on AI
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I would love to see that level of detail — it would be enormously helpful to reporters like myself as we try to understand and communicate to our readers about the environmental costs of AI.