These don't seem all that difficult to fix to me. Most of the examples are not really generic, but are shorthand descriptions of well-known entities. "Video game plumber" is practically synonymous with "Mario" and anyone that has the slightest familiarity with the character knows this. Likewise, how difficult is it to just use descriptive tools to describe Mario-like images [1] and then remove these results from anyo…
It's going to be hard to remove every single "shorthand descriptions of well-known entities" or other prompts that can be used to generate copyrighted or trademarked content. Sure, if you're not deliberately trying to generate infringing content, you can probably remove or discard those results, the trouble is the people who will try to trick the AI to generate this content, blocking those people is going to be impos…
What happens when an AI is used to make decisions where the user/victim is entitled to know exactly why the AI did what it did? From a business and legal perspective I think the current AI solutions are dangerous and should be used very sparsely, exactly because even the creators can't point to the exact pieces of information that caused the AI to make the choices it did.
I totally agree that we need explainability (probably through symbolic systems, not fancier models), but I think you’re overestimating how much more satisfying explanations from more traditional AI are. “My rules told me to do X” is a bit more helpful for a troubleshooting engineer than “my training data trained me to do X”, but from a ‘business and legal perspective’ the difference is much less pronounced IMO.Both answers mean you did something wrong in creating the machine. The fault will always lie with the creator.