53. Edouard Harris - Emerging problems in machine learning: making AI "good"

Where do we want our technology to lead us? How are we falling short of that target? What risks might advanced AI systems pose to us in the future, and what potential do they hold? And what does it mean to build ethical, safe, interpretable, and accountable AI that’s aligned with human values?

That’s what this year is going to be about for the Towards Data Science podcast. I hope you join us for that journey, which starts today with an interview with my brother Ed, who apart from being a colleague who’s worked with me as part of a small team to build the SharpestMinds data science mentorship program, is also collaborating with me on a number of AI safety, alignment and policy projects. I thought he’d be a perfect guest to kick off this new year for the podcast.