Machine Learning is transforming many fields, from healthcare to international trade and governance. However, as algorithms make more decisions, questions arise about accountability, transparency, and bias. I would like to discuss how legal systems can address these issues — for example, how we can ensure fairness and protect human rights when machine learning models are used in cross-border contexts.
How can international regulations keep up with the rapid development of machine learning technologies?