Stanford report shows that ethics challenge continue to dog AI field as funding climbs

Did you miss a session at the Data Summit? Private investors are pouring more money into AI startups than ever before. At the same time, AI systems are becoming more affordable to train -- at least when it comes to certain tasks, like object classification. Troubling, though, language models in the same vein as OpenAI's GPT-3 are exhibiting greater bias and generating more toxic text than the simpler models that preceded them. Those are the top-level findings of the 2022 AI Index report out of Stanford's Institute for Human-Centered AI (HAI), an academic research center focused on the human impact of AI technologies.