Three easy to find examples. There is no shortage of discussion of these issues, and they are not new. Bias in new technologies has been a long-standing issue, and garbage in, garbage out has been a well understood problem for generations.
LLMs are pretty cool, and will enable a whole new set of tools. AI presents alot of opportunities, but the risks are significant, and I am not overly worried about a skynet or gray goo scenario. Before we worry about those, we need to worry about the bias being built into automated systems that will decide who gets bail, who gets social benefits, which communities get resources allocated, how our family, friends, and communities are targeted by businesses, etc.
https://www.scientificamerican.com/article/racial-bias-found...
https://www.propublica.org/article/machine-bias-risk-assessm...
https://www.theguardian.com/technology/2018/oct/10/amazon-hi...
Three easy to find examples. There is no shortage of discussion of these issues, and they are not new. Bias in new technologies has been a long-standing issue, and garbage in, garbage out has been a well understood problem for generations.
LLMs are pretty cool, and will enable a whole new set of tools. AI presents alot of opportunities, but the risks are significant, and I am not overly worried about a skynet or gray goo scenario. Before we worry about those, we need to worry about the bias being built into automated systems that will decide who gets bail, who gets social benefits, which communities get resources allocated, how our family, friends, and communities are targeted by businesses, etc.