Achieving Responsible AI through ESG: Insights and Recommendations from Industry Engagement

Companies claim strong RAI commitments but lack transparency: The study found a significant gap between what companies do internally for Responsible AI and what they publicly disclose, suggesting that many organizations have RAI policies that aren't being communicated to stakeholders or the public.

Board-level expertise in AI is critically lacking: The research identified insufficient expertise about AI governance at the board level as a major barrier to implementing Responsible AI effectively, indicating that many company leadership teams may not fully understand the risks and opportunities of AI deployment.

RAI works best when integrated into existing ESG frameworks: Rather than treating Responsible AI as a separate initiative, the study found that companies are more successful when they weave RAI directly into their Environmental, Social, and Governance strategies, creating a more cohesive approach to corporate responsibility.

Cross-functional collaboration and employee engagement are essential: The recommendations emphasize that Responsible AI cannot be achieved by isolated teams—it requires coordination across departments and meaningful involvement from employees throughout the organization to identify and address potential harms.

Transparency and accountability must improve: The paper calls for stronger public disclosures about AI practices and governance structures, suggesting that companies need to move beyond internal policies to demonstrate their Responsible AI commitments to customers, regulators, and society.