It’s important to keep in mind where stuff comes from. // @ylecun @OpenAI // #AI #deeplearning #machinelearning #ChatGPT
ETHICS
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Fair Use in AI Training Data: Ethical Boundaries and Considerations
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Incredibly narrow margin on this poll, with some insightful comments. Personally, it seems very much fair use to me, as long as the training data is not entirely from the same author and the model isn't created for competing with some author.
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Fair Use Legal Opinion for Machine Learning with Copyrighted Works
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Some country legal systems have already opined that it is Fair Use https://
project-disco.org/intellectual-p
roperty/011823-israel-ministry-of-justice-issues-opinion-supporting-the-use-of-copyrighted-works-for-machine-learning/
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OpenAI toxicity filtering open-source model proposal ethics
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Sobre el asunto de OpenAI y la empresa en Kenia a la que derivó parte del etiquetado para sus filtros anti-toxicidad, esta es la idea más interesante que he escuchado. Hacer open-source un modelo de este tipo minimizaría el impacto negativo en futuros etiquetadores.
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Acknowledging Coauthors in AI Research Paper Announcements
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I still notice so many people on here celebrating that "their" paper was accepted, with no mention of coauthors. It costs you nothing to do so. This is especially frustrating for #ICLR2023 papers, where I can't even click through and see the authors yet.
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Copyrighted Data Training for Generative AI Models Falls Under Fair Use
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Using copyrighted data as training data for generative AI model training falls under "Fair Use" clause:
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Remote drivers and monitoring: Fake it till you make it in autonomous services
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All of these services use remote drivers and are constantly monitored by people. And in any case they do not drive on roads which is what I am talking about. Fake it till you make it is alive and well. And rampant.
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OpenAI Risk Management Strategy Criticized in Development
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"recalibrate" means "increase" obviously. disappointing to see this six-week development. openai will continually decrease the level of risk we are comfortable taking with new models as they get more powerful, not the other way around.
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Automation’s Last Mile Paradox and Ghost Work
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Se llama "paradoja de la última milla de la automatización" y es de la antropóloga @marylgray https://
books.google.es/books?id=8AmXD
wAAQBAJ&lpg=PR33&dq=paradoxlastmilemarylgrayghostwork&hl=es&pg=PR33#v=onepage&q=paradoxlastmilemarylgrayghostwork&f=false
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Linear AI Model Adoption Strategy Safety Infrastructure
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Maybe the idea here is to promote linear adoption for n number of reasons – tech infrastructure required to run such a big model, safety and prevention of misuse, etc.