Pacing is the most important thing to start early. The idea here is not so much to restrict what you do in a day total as to restrict consecutive minutes of activity.
ETHICS
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Ethical AI Adoption with Human-Centered Approach
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Ethical #AI Adoption with Human-Centered #AI Approach
by @antgrasso #ArtificialIntelligence #MachineLearning #ML #Technology cc: @paula_piccard @JimMarous @theadamgabriel -
Rethinking AI Governance Based on Science Not Fiction
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During her keynote at the Paris #AIActionSummit, our Co-Director @drfeifei challenged us to rethink how we approach the governance of AI. "It’s essential that we govern on the basis of science, not science fiction."
— Stanford HAI (@StanfordHAI) 10 février 2025
More from her @FinancialTimes op-ed: https://t.co/4nCpm5VStX https://t.co/1RmvQSgJ84During her keynote at the Paris #AIActionSummit, our Co-Director @drfeifei challenged us to rethink how we approach the governance of AI. "It’s essential that we govern on the basis of science, not science fiction." More from her @FinancialTimes op-ed: https://
ft.com/content/3861a3
0a-50fc-41c9-9780-b16626a0d2e8
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AI Image Generation Laws: Prompting vs. Drawing Input Requirements
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The current decision on the law doesn't think that prompting alone is enough. If you were, for example, to draw a stick figure, and prompt with that in an AI image generator, that might be enough though.
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Understanding AI Requires New Interdisciplinary Science of Intelligence
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“The engineering of intelligence has vastly outstripped our ability to understand it,” says @StanfordHAI
's @SuryaGanguli
. To really understand AI, we need an interdisciplinary approach to develop a new science of intelligence. Watch his @TED talk here: https://
bit.ly/4hv7IxI -
California Wildfires Highlight Water Consumption of AI Systems
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California wildfires raise alarm on water-guzzling #AI like #ChatGPT
by @thier_jane @fortunemagazine Learn more: https://
buff.ly/3PJG43F #ArtificialIntelligence #MachineLearning #ML #Technology cc: @kuriharan @chr1sa @miketamir -
Evolution’s Advantage: How Natural Selection Handles Unknown Unknowns
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“Evolution and The Knightian Blindspot of Machine Learning” https://
arxiv.org/abs/2501.13075 Fascinating paper. Makes the case that the harsh filter of evolution enabled organisms (including us) to navigate unexpected events (“unknown unknowns”), something that AI systems struggle with. -
Evolution from Fake It to AI Scraping: Deep Research Concerns
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2015: Fake it til you make it 2025: Scrape it til AI makes it Deep Research is out of control. That is all
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Copyright Claims and Burden of Proof in Text Ownership Disputes
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Right. People can just claim they wrote a significant portion of the text themselves. Then the burden to prove them otherwise shifts to whoever is contesting the copyright
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Explainable AI: The Path to Transparency and Trust
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Explainable AI is the to transparency, trust & compliance in high-stakes AI. Our blog explores importance of XAI for mission-critical AI and innovative #XAI techniques like DLBacktrace Are we ready to make AI fully transparent? https://
aryaxai.com/article/the-gr
owing-importance-of-explainable-ai-xai-in-ai-systems
… #ExplainableAI