Tips for Developing a Responsible AI Framework
Stated simply, artificial intelligence (AI) involves applying a set of instructions to a data set to solve a specific problem in an automated way. AI is common on the internet—think recommendations for feeds, personal assistants and search functions—and is becoming increasingly common in business—think network security functions, fraud detection, credit/risk rating, employee and applicant screening, consumer behavior prediction and medical diagnosis. But as AI development continues and its application becomes increasingly enmeshed in day-to-day operations and transactions, it is important for companies to develop a Responsible AI Framework. This governance framework serves multiple purposes including (i) educating business teams on the impact of using AI in assisting or replacing human decision-making; (ii) complying with evolving legal requirements; and (iii) avoiding unintended consequences like discrimination against, or adverse effects on, individuals. Below are a few issues to consider when developing an AI framework, which are intended to help issue-spot and guide discussions on incorporating AI into your business operations.
