I guess that depends on what their end goal is, but tbh learning new things outside your specialism is usually very useful because it expands knowledge of how things work. If the end goal is to make impact with technical AI research I’d say yes—particularly social sciences (which you mention in your post). A basic understanding of social sciences such as sociology, law, and economics are very useful for technical AI research because that research inevitably interacts with and relies upon human systems as well as technical systems. Additionally, technical AI work in industry requires interaction with a lot of those departments so it helps to deepen your ability to bridge and pitch ideas or concepts.
Some may well disagree, but that’s the nature of opinions.
I guess that depends on what their end goal is, but tbh learning new things outside your specialism is usually very useful because it expands knowledge of how things work. If the end goal is to make impact with technical AI research I’d say yes—particularly social sciences (which you mention in your post). A basic understanding of social sciences such as sociology, law, and economics are very useful for technical AI research because that research inevitably interacts with and relies upon human systems as well as technical systems. Additionally, technical AI work in industry requires interaction with a lot of those departments so it helps to deepen your ability to bridge and pitch ideas or concepts.
Some may well disagree, but that’s the nature of opinions.