Safer AI Research
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Book Excerpt from "Generative AI in C++" (full text online)
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by David Spuler, Ph.D.
Safer AI Research
The concerns about safety and “responsible AI” are well-known, and are spawning a steady stream of research papers. There is much research on addressing the various known social weaknesses of AI engines. Research areas with a focus on AI in society include:
- Safety, bias, and other ethical issues
- Policies, best practices, and regulation
- Legal issues (e.g. copyright, privacy)
- Green AI (environmentally friendly AI)
For the programmers, some of the specific technical issues being researched in these areas include:
- Alignment training
- Explainability (transparency)
- Hallucinations
- Model evaluation techniques
- Cost quantification (environmental impact)
It is worth noting that the broad areas of efficient AI research are also relevant to green AI, because making it faster also makes it greener.