Ethical AI: A quick-start guide for executives

Today, the combination of massive amounts of data, inexpensive parallel processing, and continuously improving algorithms has made AI a reality — from powering search engines to image recognition to language-understanding algorithms that enable conversational agents like Google Home, Siri, and Alexa. But beyond the big technology companies, we’re also seeing momentum in AI adoption among global companies.

Along with promising news of new AI deployments, however, we’re also seeing a steady stream of news about the risks of AI and the need to use this extremely powerful set of technologies in a humane and responsible way. We’ve seen stories and books about how social and cultural bias, encoded into algorithms, can perpetuate and even amplify inequalities.

What does all of this mean for business leaders? Simply that if we intend to unlock the potential of AI both to optimise and even transform organisations, we need to be clear-eyed about the issues we need to manage, the risks we will likely encounter, and the opportunities that lie on the other side.

This report sheds light on:
• What is AI ethics?
• AI ethics issues for business.
• Building AI ethics into your organisation.