It makes me feel really hard. : This is a really interesting idea, because data science really didn't exist a few years ago, right? So there are very few people who can practice data science at a level of sophistication because you have to grow up in a world where you can learn data science and have years of real experience on your resume. We need someone with at least 2 years of data science management experience.
Good luck, there are about seven people there, right? Like, who Special Phone Number Data are those people? So when you think that these algorithms have become so sophisticated that we need a fair lens, understanding intent rather than just detecting behavior, explaining what is appropriate action, AI can drive rather than just drive it can The decision to make, this judgment, is indeed new; like it has been for the past five years. Now we have very sophisticated UX researchers who can understand the philosophy behind these products, and that can help drive that forward. I think, as you said, we need to encourage people not just to get into data science or technology, but to understand what it means to be in an AI-driven world.
I think the most important factor affecting the amount of experience we have the most right now is actually fairness. So, are AI algorithms fair? How do we divide the output of these algorithms into different populations? Demographics can be done any way you want, as Shelvin talked about before, from a cultural perspective to make sure we bring equal outcomes to all parties, or we tweak the algorithms so we do it automatically.