Who’s Accountable When AI Gets It Wrong?

The article discusses the complex issue of accountability when AI makes mistakes, illustrating how blame fragments among various stakeholders like banks, vendors, and data providers. It defines Responsible AI as the practice of building and deploying AI systems that are fair, transparent, safe, and accountable.