
IT Governance & Leadership
To Be a Responsible AI Leader, Focus on Being Responsible
The 2022 MIT SMR-BCG responsible AI report finds that leaders view RAI as important but few prioritize it in practice.
The responsible AI initiative looks at how organizations define and approach responsible AI practices, policies, and standards. Drawing on global executive surveys and smaller, curated expert panels, the program gathers perspectives from diverse sectors and geographies with the aim of delivering actionable insights on this nascent yet important focus area for leaders across industry.
The 2022 MIT SMR-BCG responsible AI report finds that leaders view RAI as important but few prioritize it in practice.
“Executives tend to think of RAI as a distraction. In fact, many of them know very little about RAI and are preoccupied with profit maximization. Until RAI finds its way toward regulations, it will remain in the periphery.”
University of Johannesburg
“The multidisciplinary nature of responsible AI is both the beauty and the complexity of the area. The wide range of topics it covers can be hard to grasp. But to fully embrace responsible AI, a multitude of perspectives is needed. Thinking of it as a technology issue that can be ‘fixed’ only with technical tools is not sufficient.”
H&M Group
“In order to elevate ourselves from viewing RAI as a technology issue, it’s important to view the challenges RAI surfaces as challenges that largely exist with or without AI.”
UnionBank of the Philippines
Do responsible AI programs effectively address the risks of generative artificial intelligence tools? Experts weigh in.
Do responsible AI programs address the risks of third-party artificial intelligence tools? A panel of experts weighs in.
A panel of experts weighs in on whether responsible AI governance extends beyond technology leadership.
A panel of experts weighs in on whether mature responsible artificial intelligence programs mitigate system failures.
The 2022 MIT SMR-BCG responsible AI report finds that leaders view RAI as important but few prioritize it in practice.
A panel of experts weighs in on whether responsible artificial intelligence hampers AI-driven innovation efforts.