I am still taking in information and trying to figure out my stance for AI ethics, but this is moreso about the ethics of the business and its structure, not the ethics of the AI that they make.
Many people think like this is "wokeness" and at best a waste of money, and yet time and time again there are incidents that show in sometimes very horrible ways just how bad biases and a lack of diversity and oversight at all stages - planning, development and post-launch support - can end.
IMHO, ethics oversight and threat modelling based on ethics should be seen, similar to pentesting and QA in AI, software (and, as the example shows, also hardware) development, as an absolute requirement to do - because if you don't do it, 4chan will, and tear your public image apart in the process.
[1] https://www.cnbc.com/2023/05/26/tech-companies-are-laying-of...
[2] https://www.theverge.com/2016/3/24/11297050/tay-microsoft-ch...
[3] https://fortune.com/well/2023/10/20/chatgpt-google-bard-ai-c...
[4] https://www.standard.co.uk/news/world/automatic-soap-dispens...
The human machine is already tuned to do this navigating of the information landscape. The sense of curiosity itself lures us toward things that are just a little weird -- the goldilocksian zone between familiar and unfamiliar[1]. Our minds are designed to bridge gaps and seek paths into otherness, but only when the individual steps are small. We are built to seek, grow understanding and incorporate diverse thought :)
[1]: https://nautil.us/curiosity-depends-on-what-you-already-know...