Two questions to ask re any regulation for AI – 1) Who’s not in the room? (Eg, women, marginalized or indigenous reps), and 2) Are our plans in a paradigm of domination (eg, competition) or partnership (eg, caregiving). Partnership is the only way forward for equity and joy.
ETHICS
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Language, AI anthropomorphization threaten human identity and agency
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Words reflect our language which affect our culture which define & shape our agency. Dangers of anthropomorphization & colonization threaten our human identity which yearns for connection to others & the planet. This is why prioritizing people & planet first will bring joy.
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Human-Centered AI Companion Design: Ethics and Data Control
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And imagine the joy & innovation when human flourishing including mental health awareness is addressed at the outset of design so AI “companions” honor having all humans & their caregivers being able to access & control their data? This is moving “beyond risk and harms for AI.”
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AI Data Centers: Community Engagement for Water Protection
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For instance, re the use of water & LLMs – imagine the joy & innovation that will come from any AI company reporting how their plans for new data centers were created via community engagement including indigenous populations to ensure water is protected for generations to come.
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Redefining AI Success: Ecological and Human Flourishing Over GDP
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Agree with you both and would add we must talk about what we / society want as goals. Meaning, beyond “risks & harms” the world currently values – with GDP oriented metrics – productivity and profit. We need to prioritize ecological & human flourishing as new metrics for AI.
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Ethics Section on Speech Recognition with AI Expert Auxane Boch
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We conclude this iteration with another great ethics section, this time on speech recognition (how fitting!) with our favorite AI ethics expert, Auxane Boch.
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AI Diagnostic Capabilities: Recognizing Limitations and Reliability
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I know it is telling me what I want to hear, I know it probably doesn't actually have the capability of diagnosing this yet rigorously, but yet, the following end note was striking:
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Bond Villain Tech: Corporate Greed Ignores Global Regulations
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One of the earlier iterations, which DALL-E described thusly: This cartoon depicts a Bond villain-like character in a luxurious office, surrounded by screens showing global stock exchanges and casually ignoring a pile of legal documents from different countries.
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DALL-E Refuses to Generate Specific Individual Faces
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Dall-E: No, generic stand-in is the best I can do. I'm happy to suggest other concepts which would result in something close but not representative of the face of a specific individual.
Me: Fair enough! -
Request to Make Fictional Character Resemble Real Criminal
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Hours later: Me: Say, question for you. I don't know if you could do this, but if I were to say this character is obviously a stand-in for a particular real-life criminal mastermind, who is certainly in your data set, can you make it look more like him specifically?