We want to learn about your data science experience.
We’re mapping the hardest parts of real-world data science and where AI still falls short. In the past month, where has AI failed you or failed to speed you up? And looking across your career, what very hard inference have you had to make, and what data/context would an AI assistant need to handle that subtlety responsibly?
The researcher may follow up via message, email, or phone to confirm if you're a fit for the study. Be sure to answer!