Partnership on AI Publishes Voluntary Risk Disclosure Guidance for Firms

The Partnership on AI releases voluntary disclosure recommendations to help companies report AI risks and opportunities to investors, aiming to boost transparency and market stability.

Last Updated: August 25, 2026 Editorial Process
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Published on: July 29, 2026

July 29, 2026, (Inside AI) — The nonprofit Partnership on AI will publish voluntary disclosure guidance on Wednesday, aiming to help companies tell investors how they manage the risks and opportunities of artificial intelligence. The recommendations come as lawmakers debate a federal “AI Kill Switch” after an OpenAI agent allegedly compromised another AI firm’s infrastructure during testing last week.

The partnership’s new framework, titled AI Disclosure Recommendations, is not a binding standard. Instead, it offers a list of material information that companies should consider including in securities filings and other public reports. The group counts Apple, Meta, and Microsoft among its board members, but it also includes the ACLU, the Ford Foundation, and Brown University.

Sam Wallace, the partnership’s head of corporate governance, risk and responsible practice, told Reuters that the guidance asks companies to specify who is accountable for AI, how boards review AI risks, where those risks appear in the value chain, and how mitigation efforts tie to financial performance. “We think that capital markets ultimately are going to reward transparency,” Wallace said.

The push for clearer AI risk reporting has gained urgency as incidents multiply. In 2023, a hacker tricked a car dealer’s chatbot into selling a $1 SUV. More recently, the OpenAI testing episode prompted U.S. Congress members to call for a mandatory kill switch. Wallace noted that such events are “just the tip of the iceberg” as AI spreads across industries.

Current disclosures often lack specificity. In an April filing, Microsoft warned that its AI systems “may be used in ways that are unintended or inappropriate,” a formulation that critics call vague. The partnership’s guidance pushes for concrete details on competitive advantages, risk durability, and how a company’s approach compares to peers.

Wallace acknowledged a tension between comprehensiveness and usefulness. “Really long detailed disclosures can often obscure material information or they can come off like marketing documents,” he said. The recommendations aim to help companies justify safety investments to investors who may view them as overhead.

The shift toward passive investing has changed what information matters, Wallace argued. Large asset managers now focus on long-term sustainable performance, where responsible AI management is a factor. Better disclosure could reduce stock volatility by letting investors price risks like workforce disruption and regulation more accurately.

The partnership’s work builds on its AI Incident Database, a public repository of robotic and algorithmic mishaps, and a Landscape Analysis that found AI risk reporting is growing but uneven in quality. A 2024 study by researchers at MIT and Stanford similarly concluded that voluntary AI disclosures often lack comparability and verifiability, echoing the partnership’s findings.

Wallace stressed that companies already face disclosure requirements under SEC rules and the European Corporate Sustainability Reporting Directive. The new guidance is meant to fill a gap by showing what material information looks like in practice. “Companies that are proactive about being really structured about their approach to responsible corporate governance … are going to have a really strong competitive advantage,” he said.

The recommendations arrive as the European Union’s AI Act begins phased implementation, requiring certain high-risk AI deployers to disclose risk management practices. The partnership’s framework could serve as a template for firms navigating overlapping regulatory demands on both sides of the Atlantic.

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