3 Ways to Ethically Innovate in Machine Intelligence

At Booz Allen Hamilton, we're laying out a future where advancements in machine intelligence are shaped by a set of guiding principles borrowed from human subject research--beneficence, justice, and respect. We want to ensure that MI is beneficial, not harmful, to human welfare. This was the focus of our response to a request for information issued by the White House in June 2016 for the pros, cons and other implications of machine intelligence. We are calling for an approach where ethics are not simply tacked on at the end, but rather drive the U.S. approach to this experimental new technology. We see that with the work being done to drive technical development and research for our evolving machine intelligence capability, work that includes machine learning and deep learning, quantum computing and more.