Tom (
@tfburns
) gives a thoughtful final response to his reviewers, which wasn't made public. Read it here!
ETHICS
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Tom Burns Shares Thoughtful Response to Peer Reviewers
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Webinar on AI, Gender, Stereotypes and Industrial Bias
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The #webinar "Industry and AI facing gender, stereotype and bias issues" organized by @DigitAqui and @AerospaceValley will be held on November 15th https://actuia.com/actualite/le-webinaire-lindustrie-et-lia-au-defi-des-questions-de-genre-stereotype-et-biais-organise-par-digital-aquitaine-et-aerospace-valley-se-tiendra-le-15-novembre/
… #AI #artificialintelligence #event #industry @IADataScience -
LLMs Generate Convincing but Wrong Completions Often
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this is an issue I also have with copilot. it often very convincingly pushes for long and beautiful but wrong completions LLM as “internet influencers”: surface form trumps content https://
x.com/shortstein/sta
/shortstein/status/1587857803678748672
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Blindsight: The AI Future We Should Avoid
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(Of all of the science fiction books we could be living in, Blindsight would not be my novel of choice.) Paper here:
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Secret AI: Why Humans Distrust Algorithmic Feedback Systems
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I expect that we are going to see an explosion of “secret AI,” where AI advice is delivered by humans. Why? We hate to listen to AI. For example, getting feedback from an AI system improved employee performance… until people learned it was from an AI, then performance DROPPED.
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Radio’s Role in Nazi Rise: Historical Media Amplification Study
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Analysis of radio broadcasts in pre-WW2 Germany finds pro-democracy broadcasts initially slowed the Nazi rise. But after the Nazis gained access to the airwaves, radio boosted Nazi membership & then it accelerated antisemitism (in areas of Germany that were already antisemitic).
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Google Leaders Discuss Responsible AI Innovation Strategy
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Starting now: James Manyika, SVP of Technology and Society, and Marian Croak, VP of Engineering @Google will discuss the importance of innovating responsibly and what factors we keep top of mind in our research. Tune in ↓
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Blue Tick Monetization Risks Encouraging Trolling Behavior
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Interesting. Making the Blue tick process more transparent and accessible is certainly a step in the right direction. But linking it to a nominal monthly payment is debatable. Could legitimize noise creation & encourage a 'pay & troll' practice.
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Citation bias in scholarship: how metrics distort quality perception
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A downside of Google Scholar is that it emphasizes citation counts. This paper shows that once we see citation counts, we think articles with fewer citations must be lower quality… it even affects readers who have cited that article in their own work! https://
pnas.org/doi/10.1073/pn
as.2012208118
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Fei-Fei Li discusses AI with human perspective at MIT
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I still love this building after all these years @MIT_CSAIL Excited to be back; and giving a talk tomorrow https://
calendar.mit.edu/event/dertouzo
s_distinguished_lecture_fei-fei_li_what_we_see_and_what_we_value_ai_with_a_human_perspective#.Y2GPDqQpAWM
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