
IT Governance & Leadership
Building Robust RAI Programs as Third-Party AI Tools Proliferate
The 2023 MIT SMR-BCG responsible AI report finds that third-party AI tools pose increasing risks for organizations.
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 2023 MIT SMR-BCG responsible AI report finds that third-party AI tools pose increasing risks for organizations.
The 2022 MIT SMR-BCG responsible AI report finds that leaders view RAI as important but few prioritize it in practice.
“RAI is governance, and the management of governance needs to be centralized in order to achieve its intended effectiveness of guidance and oversight. Furthermore, a centralized setup enables standardization, efficiencies of scale and scope, and lower coordination costs. The implementation-operationalization of governance needs to be decentralized and the responsibility of each specific function.”
Aboitiz Data Innovation and United Bank of the Philippines
“It is often the case that different functions within an organization handle different areas of RAI — between engineering, security, product, legal, and so on. This is not only important but necessary. However, it is unhelpful if these functions operate completely independently. That is why having an oversight and governance function is critical — to provide a holistic perspective across these concurrent efforts.”
Salesforce
“Although centralized management of responsible AI can guarantee that all projects follow the same circuit of control, this can quickly become a disadvantage if the project under examination is complex. Moreover, centralized management runs counter to the vision of responsible AI development, which would preferably involve all players in the development chain. This is why, in my opinion, decentralized management makes it possible to distribute the roles of each unit according to their expertise, to ensure not only positive interaction but also the involvement of all.”
AfroLeadership
A panel of experts weighs in on whether oversight of responsible AI should be entrusted to a single business function.
The 2023 MIT SMR-BCG responsible AI report finds that third-party AI tools pose increasing risks for organizations.
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.