Agreement comes as tech groups seek to meet climate promises while expanding power-hungry artificial intelligence Good initiative by MSFT. Hopefully this will create momentum for the DAC players.
ETHICS
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Super-persuasive machines and influencer creation tools
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Before we get super-intelligent machines, we'll get super-persuasive machines. Which companies currently have the most effective tools for creating online influencers and social media campaigns?
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AI Scientists Demand Non-Compete Bans Through Activism
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AI scientists and engineers need to make their voices heard when it comes to non-competes. I hope this becomes a topic of discussion at @icmlconf and other venues. We urgently need more activism in this area. I believe non-competes should be banned because: 1. They give
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Copyright breach threatens social contract and societal stability
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Sure. If you break the society-wide agreement that is Copyright, then society breaks down.
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Data Poisoning Attacks Remain Effective Against Unlearning Methods
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We investigate the effect of: three types of data poisoning attacks (targeted, indiscriminate, and "Gaussian," which is new), across CNNs and LLMs, for seven different unlearning methods. None of these are effective at removing the effect of poisoning. 5/n
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MUL Method Mitigates Data Poisoning Effects in Training
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But MUL has also been proposed as a method to remove the effect of data poisoning. Such effects are *indirect* — they manifest in other datapoints besides the specific training point. 4/n
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Evaluating Machine Unlearning with Membership Inference Attacks
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The most common way to evaluate an MUL method is using "membership inference attacks." These try to directly test whether the "unlearned" point was in the dataset used to train the model or not. 3/n
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Leadership in Technology: DEI and AI with Cheryl Ragland
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New! Leadership in Technology 🗲- A DEI and AI Special with Cheryl Ragland, CMO at @Spirent See: http://
bit.ly/CherylSallyDEI
Special
… Diversity, Equity, #Inclusion & Belonging in Tech #Mentorship Facilitation and Sponsorship Changes in #Marketing and #Technology The -
Google, Microsoft, and Meta Report Rising AI-Related Emissions
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Google, Microsoft and Meta have all reported significant emissions increases due to AI. Source: The Conversation
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Why You Shouldn’t Panic About AI: Key Reasons Explained
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All the reasons you shouldn’t panic about AI, in one short interview.