I hear you. I'm just worried that this metaphor is increasing the risk of harm in this transition phase when most people aren't familiar yet about what this technology is/isn't (ex https://
x.com/ClementDelangu
e/status/1710349025793159338
…)
ETHICS
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AI Metaphor Risks Harm During Early Adoption Phase
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Risks of Making AI Sound Too Human
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I hear you but think I care less about the philosophical debate about the nature of thinking but worry more about the risk of making it sound human like I described here:
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Designing AI to enhance human capabilities rather than compete
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agree! much more interesting and powerful IMO to create trains that transport humans faster rather than try to have something beat a human in a running race
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Processing Versus Thinking: Semantic Distinctions in AI Systems
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Take with a grain of salt because English is not my first language but my perception is that "processing" can be an action of a program while "thinking" is mostly attributed to humans (would be weird to say that Google is "thinking" when you run a search query)
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Anthropomorphism in AI systems: risks and ethical concerns
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How do you think it's useful (genuine question)? For me, it's detrimental because it biases our thinking and perception in giving human attributes to a system that is not leading to things like addiction, ability to control and manipulate and irrational fears like existential
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Web-Scale Data: Legal Risks and Compliance Requirements
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Voilà! Overall, dealing with web-scale data is inherently risky and requires due care and good faith to reduce legal risk. In lawsuits, the burden of proof quickly shifts onto the defendants (because it's an affirmative defense) and they need to provide evidence of compliance.
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Partner with IWF upfront to prevent illegal content in AI datasets
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Partner with IWF upfront, not when problem arise! LAION knew about the risks of illegal content (e.g. child abuse) being in their dataset. It would have been sensible to partner with professional organizations like IWF to check files *before* publishing the dataset.
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Fair Use Licensing for AI Datasets: Legal Compliance Strategy
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Use an appropriate license compatible with Fair Use. LAION's creation of the dataset required one or more Copyright Exceptions with strict terms. Picking a license that respects the terms of these exceptions would reduce legal risk significantly, and show good faith.
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User Generated Content Exclusion from AI Training Datasets
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Exclude social media and UGC websites. Popular websites that host user generated content or personal profiles could have been excluded from the dataset. Platforms don't have full rights to their users private information, and avoiding that kind of content reduces legal risk.
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LAION criticized for partnering with questionable data hosting site
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Don't partner with dubious websites to host files! LAION shouldn't have requested TheEye, a questionable "archival" website, to host their data in order for them to link to it! Maybe instead get approval from platforms like HF so they share legal responsibility for hosting.