Pondering AI Reframing Responsible AI with Ravit Dotan
May 28, 2025
In this engaging conversation with Ravit Dotan, an AI ethics researcher and founder of TechBetter, the importance of embedding responsibility into AI innovation is front and center. Ravit argues that all algorithms carry inherent values and that clarity of purpose is essential for beneficial AI use. He critiques the pitfalls of ethics washing and highlights the gap between ethical intentions and actual practices within organizations. The discussion also emphasizes the role of individual advocacy and the need for a collaborative approach to responsibly harness AI.
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AI Embeds Values Inherently
- AI systems inherently embed values just like traditional sciences do in their reasoning and development processes.
- Recognizing and managing these embedded values is essential, not denying their existence.
Tech Metrics Reveal Value Choices
- Technical metrics like accuracy and robustness in machine learning reflect specific value choices, often prioritizing power-centralizing perspectives.
- Social impacts are rarely prioritized or integrated explicitly in top AI research papers' value assessments.
Relate AI Ethics To Everyday Norms
- AI resource consumption and ethical concerns can be understood using familiar frameworks like water conservation and cheating norms.
- Viewing AI responsibility as new or separate from known ethics leads to misunderstanding; existing norms apply.