"No artificial neural network is near a point where we can talk about it having moral responsibility separate from its trainers’ and deployers’ – but we can make it sound like it does, and exonerate them, if we call it AI." https://twitter.com/shashashasha/status/1335067153402355714
Modern ethical AI / ML, is both that and beyond that. Issues range vastly in how complex algorithms can be used, misused and misinterpreted. There are also issues of uncovering hidden biases, unfairness, manipulative effects, privacy issues, risk and impact analysis, explanatory AI, who is accountable for accidents and malicious acts, etc. The list goes on covering both the legal and the political. This may not be unique to ML / AI, but is harder to quantify and prove, with more prevalent usage of complex algorithms.
https://analyticsindiamag.com/how-is-ethical-ai-different-fr...
https://www.kdnuggets.com/2016/03/ethics-machine-learning-ta...