You can't approach AI ethics with only formal procedures, say leaders at global retailer H&M Group. So to help build its collective moral compass, the company has built a culture of AI ethics based on experimentation. Its AI ethics training emphasizes concrete business examples and principles that teach people what to ask. H&M Group's example shows that organizations can practice AI ethics and become better at it despite not knowing what 'best' looks like. Artificial intelligence changes how organizations work, and that's one of the reasons why it challenges our ethics: Who should take responsibility for automated decisions and actions' How much agency should algorithms have' How should we organize interactions between minds and machines' How does technology affect the workforce' Where are biases built into the system' Companies, regulators, and policy makers search for steadfast ethical principles to help them navigate these moral mazes. They follow what feels like a logical...
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