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Human beings are collaborating with artificial intelligences on an increasing number of high-stakes tasks. I\\u2019m not just talking about robot-assisted surgery or self-driving cars here\\u200a\\u2014\\u200aevery day, social media apps recommend content to us that quite literally shapes our worldviews and our cultures. And very few of us even have a basic idea of how these all-important recommendations are generated.

As time goes on, we\\u2019re likely going to become increasingly dependent on our machines, outsourcing more and more of our thinking to them. If we aren\\u2019t thoughtful about the way we do this, we risk creating a world that doesn\\u2019t reflect our current values or objectives. That\\u2019s why the domain of human/AI collaboration and interaction is so important\\u200a\\u2014\\u200aand it\\u2019s the reason I wanted to speak to Berkeley AI researcher Dylan Hadfield-Menell for this episode of the Towards Data Science podcast. Dylan\\u2019s  work is focused on designing algorithms that could allow humans and robots to collaborate more constructively, and he\\u2019s one of a small but growing cohort of AI researchers focused on the area of AI ethics and AI alignment.