Disclosure of AI-related impacts, risks, and opportunities

Disclosure of AI-related impacts, risks, and opportunities

Disclosure of AI-related impacts, risks, and opportunities

https://partnershiponai.org/resource/disclosure-of-ai-related-impacts-risks-and-opportunities/

Publish Date: 2025-11-19 12:54:42

Source Domain: partnershiponai.org

Summary

AI is rapidly transforming business practices across various industries, emphasizing the crucial need for improved, high-quality information regarding how companies manage AI-related impacts, risks, and opportunities. To this end, the article underscores the urgency of gaining deeper insights into AI’s potential, including biases, privacy concerns, and environmental effects. The landscape analysis covered 50 of the world’s largest companies, revealing inconsistent, non-comparable AI disclosures in their financial and sustainability reports. Despite the existing best practices, significant gaps in disclosing AI-related impacts, risks, and opportunities persist. The analysis showed that quantity often exceeds quality in disclosures, with notable variations in reporting across different segments and a lack of consistent, quantitative metrics to describe risks and impacts specifically related to AI models.

Despite these disparities, the article advocates for greater consistency in reporting to help stakeholders draw meaningful conclusions and for the development of better disclosure guidelines and a corporate-level AI assessment framework, in collaboration with key players including companies that utilize AI technologies, investors, and other stakeholders.

Key Points:

  • High-quality information on AI’s impacts, risks, and opportunities is crucial for decision-making.
  • Formal reporting of AI issues should be standardized across major companies for consistency and comparability.
  • Technological companies provide more detailed AI disclosures than non-tech firms.
  • The need for improved, guided disclosure frameworks and AI assessment frameworks for corporate-level evaluation is evident.