What AI developers need to know about artificial intelligence ethics

If only there were tools that could build ethics into artificial intelligence applications. Developers and IT teams are under a lot of pressure to build AI capabilities into their company's touchpoints and decision-making systems. At the same time, there is a growing outcry that the AI being delivered is loaded with bias and built-in violations of privacy rights. There may be some very compelling tools and platforms that promise fair and balanced AI, but tools and platforms alone won't deliver ethical AI solutions, says Reid Blackman, who provides avenues to overcome thorny AI ethics issues in his upcoming book, Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent and Respectful AI (Harvard Business Review Press). He provides ethics advice to developers working with AI because, in his own words, "tools are efficiently and effectively wielded when their users are equipped with the requisite knowledge, concepts, and training."