From ChatGPT to risk assessment algorithms, the use of machine-learning tools is increasing. Philosopher and data ethicist Ramón Alvarado grapples with questions of trust, bias, and implementation of AI. How is possible for humans to place trust in something they don't (and can't) understand? In what scenarios is it appropriate to use AI? How can we protect ourselves from algorithmic bias? Ramón Alvarado is a member of the University of Oregon Presidential Initiative in Data Science. Earn a Philosophy degree https://admissions.uoregon.edu/majors/philosophy Interested in Data Science? https://scds.uoregon.edu/ https://datascience.uoregon.edu/ Ramón Alvarado's research What kind of trust does AI deserve, if any? https://link.springer.com/article/10.1007/s43681-022-00224-x Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI. https://onlinelibrary.wiley.com/doi/abs/10.1111/bioe.12959 Epistemic Entitlements and the practice of computer simulation https://link.springer.com/article/10.1007/s11023-018-9487-0 Computer simulations as scientific instruments https://link.springer.com/article/10.1007/s10699-021-09812-2 Follow the University of Oregon https://www.facebook.com/universityoforegon https://twitter.com/uoregon https://www.instagram.com/uoregon/ https://www.linkedin.com/school/university-of-oregon/ 00:00 Introduction 00:47 Trust in AI? 01:41 Algorithmic Bias 02:52 The Black Box 03:56 Pigeons and Fruit Flies 05:54 What can we do about it?