Big Idea > Artificial Intelligence Responsible AI

In collaboration with

Elizabeth M. Renieris
GUEST EDITOR

Elizabeth Renieris

Guest editor, MIT Sloan Management Review

Learn more

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 Report and Infographic

The 2022 Report

Strongly agree

“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.”

David R. Hardoon

Aboitiz Data Innovation and United Bank of the Philippines

Neither agree nor disagree

“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.”

Paula Goldman

Salesforce

Strongly disagree

“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.”

Belona Sonna

AfroLeadership

Meet the panelists

Join the discussion with our panelists on LinkedIn

Continue the conversation with us on LinkedIn. Join the AI for Leaders group today.

Radhika Alla

Radhika Alla

Mayo Clinic
Richard Benjamins

Richard Benjamins

Telefónica
Simon Chesterman

Simon Chesterman

National University of Singapore
Philip Dawson

Philip Dawson

Armilla AI
Triveni Gandhi

Triveni Gandhi

Dataiku
Paula Goldman

Paula Goldman

Salesforce
Rashmi Gopinath

Rashmi Gopinath

B Capital Group
David R. Hardoon

David R. Hardoon

Aboitiz Data Innovation, Union Bank of the Philippines
Tae Wan Kim

Tae Wan Kim

Carnegie Mellon University
Jeremy King

Jeremy King

Pinterest
Linda Leopold

Linda Leopold

H&M Group
Giuseppe Manai

Giuseppe Manai

Stemly
Tshilidzi Marwala

Tshilidzi Marwala

United Nations University
Nitzan Mekel-Bobrov

Nitzan Mekel-Bobrov

eBay
Oarabile Mudongo

Oarabile Mudongo

African Observatory on Responsible AI
Aisha Naseer

Aisha Naseer

Huawei Technologies Co. (UK) Ltd.
Alka Patel

Alka Patel

Comcast
Riyanka Roy Choudhury

Riyanka Roy Choudhury

Stanford University
Belona Sonna

Belona Sonna

Bel’s AI Initiative; AfroLeadership
Steven Vosloo

Steven Vosloo

UNICEF
Elizabeth Anne Watkins

Elizabeth Anne Watkins

Intel Labs

Responsible AI Panel