So I think we don't want to hand over sentencing decisions to a neural network that nobody understands, but I also think careful use of (simpler) machine learning can still improve a lot of our decision-making. The question is how much these decisions improve over what we have now. There's not exactly a surfeit of wise, highly trained ethicists who are happy to make consequential decisions all day. Many human decision-makers are quite flawed too, they just get to hide behind the opacity of being a human rather than an algorithm.
To that end, a whole "fair machine learning" field has sprung up over the past few years to study this. There are like a dozen papers in the area at NeurIPS and ICML every year. There's some progress.
We can use machines to guide the humans, finding flaws or biases, recommending further analysis, and in a lot of other ways while still keeping the decisions made by humans.
Should we have?
Would an ethics course and professional society eliminate child porn online? Of course not. Would it have shaped and possibly tempered social media giants into something less toxic? Maybe.
I'm not convinced ethics course requirements do much for a moral living. (And a peculiarly large fraction of those curricula often seems to be concerned with agonizing over whether to push various small or large groups of people on to railway tracks to be run over, rather than trying to stop the frigging train)
The examples you link don't seem very difficult to assess if they're approached with high priority placed on not causing trouble for the innocent. Also, presumably the people purchasing and deploying systems like that have usually taken plenty of formal education about ethics (and possibly philosophy), and yet there seems to be plenty of demand. Why is that you reckon?
Yeah, there's also shitty sentencing recommendations[1], new-age phrenology[2], and high-tech redlining[3].
I think your entire field needs to take a year off and take some ethics and philosophy courses before going any further. Otherwise we're all going to end up much worse off.
[1] https://www.nytimes.com/2017/10/26/opinion/algorithm-compas-...
[2] https://www.faception.com/
[3] https://www.fastcompany.com/90269688/high-tech-redlining-ai-...