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 and bias in the implementation of AI. How is it 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?
