AI is increasingly becoming integral to business operations across various sectors, prompting a call for enhanced formal reporting on AI-related impacts and risks. A recent landscape analysis of 50 major companies identified inconsistencies and gaps in current AI disclosures, emphasizing the need for standardized and meaningful reporting approaches. Investors, regulators, and analysts must access reliable information regarding AI’s effects on financial health and societal impacts to foster responsible use and innovation.
The analysis revealed that while companies are beginning to address AI’s implications, the quality, detail, and location of disclosures are highly variable. Formal reports should not act merely as marketing tools but must serve the critical role of conveying essential information about AI’s potential risks and opportunities. Best practices in reporting are emerging, yet many companies struggle to effectively quantify their AI impacts, relying too heavily on qualitative data instead. By adopting more granular metrics and consistent reporting standards, stakeholders can make informed decisions that align with both corporate strategy and public interest.
👉 Pročitaj original: Partnership on AI
