Earlier quoted context omitted.
Specifically with AI I don’t want to experience the downside of innovation before we regulate because of how wide spread its use already is, and it’s problems have already become apparent. For example, it’s being used to job screen applicants even though we have proven that AI models still suffer from thing like racial bias. Companies don’t disclose how their models are trained to negate bias or anything like that ei…
there maybe better examples of why AI biases provide deep systemic problems but: CV screening? are contemporary LLM really worse that previous screening tech and processes?
Another is that a health insurance company was caught using AI to determine if a claim should be denied or not which lead to a scandal as a whistleblower leaked the practice, as it was wrought with errors and ethical concerns