Ethics and AI: 3 Conversations Companies Need to Have

While concerns about AI and ethical violations have become common in companies, turning these anxieties into actionable conversations can be tough. With the complexities of machine learning, ethics, and of their points of intersection, there are no quick fixes, and conversations around these issues can feel nebulous and abstract. Getting to the desired outcomes requires learning to talk about these issues differently. First, companies must decide who needs to be part of these conversations. Then, they should: 1) define their organization’s ethical standards for AI, 2) identify the gaps between where you are now and what your standards call for, and 3) understand the complex sources of the problems and operationalize solutions.