As data scientists and business leaders, we need to think about the ethical and privacy considerations of machine learning and artificial intelligence. However, this isn't always easy. What happens when your model is wrong? Or if your model learns something you didn't teach it? And what about fairness -- do certain groups get better or worse results than others?To help demystify these topics, FICO's Scott Zoldi shares recommendations around ethics and privacy, as well as practical advice for how AI teams should respond to mistakes or issues that may pop up during testing.The conversation covers these topics:-- What is responsible AI?-- AI governance and AI ethical principles-- AI ethical standards and government policy-- Ethical considerations and corporate culture-- Managing bias in AI planning-- What is the responsible AI framework at FICO?Scott Zoldi is chief analytics officer at FICO responsible for the analytic development of FICO's product and technology solutions. While at FICO, Scott has been responsible for authoring more than 100 analytic patents, with 65 granted and 53 pending. Scott serves on two boards of directors, Software San Diego and Cyber Center of Excellence. Scott received his Ph.D. in theoretical and computational physics from Duke University.