The term “Artificial General Intelligence” (AGI) is being thrown around in the AI community, but what does it really mean? Experts can’t agree on a definition, and without one, it’s difficult to interpret announcements about AGI or claims about its risks and benefits. AGI is often seen as the ultimate goal of machine learning and AI research, but what is the measure of a generally intelligent machine? The concept of AGI is slippery, and its implications are far-reaching, from shaping AI safety and risk management to influencing how we think about these systems. To get a better grip on what AGI actually describes, we need to redefine our understanding of intelligence, both human and artificial.
Rethinking Artificial General Intelligence
AGI was “a pejorative,” according to Joanna Bryson, an ethics and technology professor at the Hertie School in Germany who was working in AI research at the time.
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