OpenAI’s Raising Concerns Policy

OpenAI Blog News

Summary

OpenAI has published its Raising Concerns Policy, which protects employees' rights to make protected disclosures about AI safety, legal issues, or company policies, including a 24/7 anonymous Integrity Line introduced in April 2024. The policy explicitly prohibits retaliation and allows employees to report concerns to government agencies, while maintaining confidentiality agreements around trade secrets.

We’re publishing our Raising Concerns Policy, which protects employees’ rights to make protected disclosures.
Original Article
View Cached Full Text

Cached at: 04/20/26, 02:52 PM

# OpenAI’s Raising Concerns Policy Source: [https://openai.com/index/openai-raising-concerns-policy/](https://openai.com/index/openai-raising-concerns-policy/) OpenAIWe’re publishing our Raising Concerns Policy, which protects employees’ rights to make protected disclosures\. We believe rigorous debate about AI is essential to ensuring that AI is safe and benefits the most people possible, which is why OpenAI has a Raising Concerns Policy\. This policy protects employees’ rights to raise issues, including about AI safety, applicable laws, or company policies\. We’ve recently revised our policy—you can read it[here⁠\(opens in a new window\)](https://cdn.openai.com/policies/openai-raising-concerns-policy.pdf)\. Our Raising Concerns Policy outlines various ways employees can raise issues and expressly prohibits harassment and retaliation against those who decide to do so\. Our policy also makes clear that employees have the right to make reports or disclosures to government agencies, including the U\.S\. National Labor Relations Board, the U\.S\. Equal Employment Opportunity Commission, the U\.S\. Securities and Exchange Commission, and the California Attorney General’s Office\. In April 2024, we introduced a new 24/7 Integrity Line, which allows OpenAI employees to anonymously raise concerns if they prefer not to use existing channels, such as through their manager, HR, Compliance or Legal\. When potential legal or policy violations are reported, they are handled by our Compliance, Legal, Employee Relations, and Security teams\. Certain issues may also be shared with the Audit Committee of the Board of Directors\. Like other companies in our industry, OpenAI continues to distinguish between raising concerns and revealing company trade secrets\. Given our technology’s implications for U\.S\. national security, the latter \(subject to the right to make protected disclosures\) remains prohibited under confidentiality agreements for current and former employees\.

Similar Articles

OpenAI safety practices

OpenAI Blog

OpenAI outlines 10 safety practices it actively uses and improves upon, including empirical red-teaming, alignment research, abuse monitoring, and voluntary commitments shared at the AI Seoul Summit. The company emphasizes a balanced, scientific approach to safety integrated into development from the outset.

OpenAI public policy agenda

OpenAI Blog

OpenAI publishes its public policy agenda, outlining principles and priorities for AI governance, safety, and democratization, emphasizing collaboration with governments.

OpenAI: Public Benefit?

Reddit r/ArtificialInteligence

Article reports that OpenAI employees flagged a potential shooter's disturbing ChatGPT conversations before a mass shooting, but executives did not warn law enforcement, leading to lawsuits from victims' families.

Our views on AI policy and political advocacy

OpenAI Blog

OpenAI outlines its stance on AI policy and political advocacy, stating it has no super PAC donations or employee-funded PAC, and emphasizes transparency and public accountability in shaping AI governance.

Why responsible AI development needs cooperation on safety

OpenAI Blog

OpenAI publishes a policy research paper identifying four strategies to improve industry cooperation on AI safety norms: communicating risks/benefits, technical collaboration, increased transparency, and incentivizing standards. The analysis addresses how competitive pressures could lead to under-investment in safety and proposes mechanisms to align incentives toward safe AI development.