How organizations can develop an AI governance strategy

Today, many companies are entrusting their top business-critical operations and decisions to artificial intelligence. Rather than traditional, rule-based programming, users now have the ability to provide machine data, define outcomes, and let it create its own algorithms and provide recommendations to the business. For instance, an auto insurance company can feed a machine a library of photos of previous totaled cars with data on their make, model and payout. The system can then be "trained" to review future incidents, determine if a car is totaled, and give a recommended payout amount. This streamlines the review process, which is both a positive for the company and customer.