@GraysonBell
Honestly, because the approach wouldn't solve the underlying issue. With machine learning algorithms data science can train
and then actually develop "original works of art" using the same style/flavor/voice of the original.
Essentially, we can teach a robot to think/do the same things we believe Grayson Bell would think/do in the same scenario.
Unlike humans, computers can't make leaps of intuition. So you can know that fire is hot even though you've never touched it. AI/ML can't do that - it pretends by sheer brute force simulation. The computer asks itself twenty million times how something could be and records what answers it came up with and then references that sheet whenever you ask it a question.
The sheer amount of effort from humans to even train the smallest decisions is substantial. Entire companies
exist to just make the concept of "I asked an AI to read all of XYZ" possible within a 'reasonable' timeframe.
Ethics always fall behind the technology curve. Business doesn't want to invest in morals - they want to invest in profits. Morals and ethic business practices are what happens AFTER someone gets the first.
@Manigarm