The problem is that AI etichs research is an esetoric academic field that has little real value in indistry. I will explain. Take the famous paper the article

The problem is that AI etichs research is an esetoric academic field that has little real value in indistry. I will explain. Take the famous paper the article mentions. I read the paper. It's full of nonsense. It talks about environmental costs of training huge models. Give me a break. Then the problem with the biased datasets. Yes, everyone knows if you train on racist text you gonna get a racist LM. AI researchers are not stupid. They don't need etichs research to figure this out. The paper even gives an example of an Arab guy who got arrested because the Israeli police used an MT system that made a mistake in translation. The problem is not AI, the problem is the stupidity of the Israeli police who didn't verify the translation before arresting someone (he got released of course). Image recognition is another issue AI etichs like to bring up. "A black man was falsy identified!!". But when Yann Lecun said it's a training data problem the AI etichs researchers exploded. "No! AI models are racist!!". Etc. Now, if you have to work with a biased dataset, then ethics/fairness research might have some value in guiding you on how to build more fair models. But in industry and esp companies like Google, cannot take chances and almost always resort to data as the solution.