or AI bots eliminating jobs were the main issues associated from this emerging tech—think again. Researchers from MIT and the University of Queensland in Australia, decided it was high time that someone compiled a compendium of AI’s version of
“If current understanding is fragmented, policymakers, researchers, and industry leaders may believe they have a relatively complete shared understanding of AI risks when they actually don’t. This sort of misconception could lead to critical oversights, inefficient use of resources, and incomplete risk mitigation strategies, which leave us more vulnerable," Slattery provided via email.
The researchers distilled down all categories of AI risks to the following seven buckets or domains listed here.to further refine the nature of the AI risks. Examples of those sub-domains include “AI system security vulnerabilities and attacks” as well as “loss of human agency and autonomy.
Academicians could develop new training and educational materials that incorporate some of these learnings as well as using this body of evidence as a foundation for additional AI research and advancement within the field.
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