We face the same challenges in public services – where appeals to AI to drive reform are seen wrongly as an alternative to upfront investment. Several years ago, DeepMind documented why they weren’t able to go in and apply AI to the NHS…
ETHICS
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Human Values and AI Shape the Future of Work
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Human values, as well as #AI, must be at the core of the #FutureofWork https://
bit.ly/3B2h5RI -
Efficient Market Hypothesis: Why It Becomes Falser When Widely Believed
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the efficient market hypothesis is interesting not only because it’s widely believed and obviously untrue, but also because it becomes more untrue the more people act as if it were true.
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Imitation Models Mimic Style, Not Factuality of LLMs
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The False Promise of Imitating Proprietary LLMs (
https://
arxiv.org/abs/2305.15717) Crowd workers rate imitation models (models trained on other models' outputs) highly. But it turns out that these imitation models only tend to mimic the style of the upstream LLMs not their factuality. -
AI Transition Will Be Bumpy, Requires People Power
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the transition to this ai future is going to be very bumpy – benefits will be more unevenly distributed than in the past waves… people power drives progress as much as technology does. it‘ll need a lot of people power to smoothen out this transition
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Leadership and Employee Well-Being Through Training Programs
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The Role of #Leadership: How Managers and Supervisors Can Promote Employee Well-Being Through Training https://
bit.ly/42N02zu #MentalHealth -
Human Ignorance: A Greater Concern Than AI Risk
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Be far more worried about ignorance amongst humans.
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Interesting analysis of EU AI Act
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Interesting analysis. https://
crfm.stanford.edu/2023/06/15/eu-
ai-act.html
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AI’s Potential to Enhance Human Creativity and Humility
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TY Arianna! Glad we both see potential for AI to enhance human creativity and humility. Here’s the op-ed w/out paywall: Let's Give AI a Chance https://
bit.ly/Boston-Globe-O
p-Ed-on-AI-May-2023
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Citation Context Matters: Different Outcomes Change Architecture Proposals
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Depends on the cites. E.g.,
“xyz proposed a new architecture that successfully addresses …” is quite different from “xyz proposed a new architecture that failed to address …”