Responsible reporting for frontier AI development aims to ensure that critical safety information is shared with relevant stakeholders to mitigate risks. The paper outlines key features of responsible reporting, including the need for transparency, accountability, and collaboration among developers, governments, and independent experts. It emphasizes the importance of sharing information about AI risks, vulnerabilities, and mitigation strategies to improve risk management and regulatory responses. The framework proposes that developers disclose safety-critical information to government actors and other developers, who then decide on appropriate technical, organizational, and policy responses. Independent experts provide guidance to both developers and government actors. The paper discusses the challenges of implementing responsible reporting, including intellectual property concerns, reputational risks, legal liabilities, and coordination among developers. It also highlights the need for institutional mechanisms to facilitate responsible reporting, such as voluntary participation, anonymized reporting, and liability safe harbors. The paper suggests that responsible reporting could be integrated into regulatory frameworks, such as the U.S. executive order and the EU AI Act, to ensure that information is shared effectively and used to inform policy decisions. The authors argue that responsible reporting is essential for improving AI safety and governance. By sharing information about AI risks and mitigation strategies, developers can enhance their risk management practices, while policymakers can design more effective regulatory frameworks. The paper also emphasizes the importance of balancing transparency with the protection of commercially sensitive information. Overall, responsible reporting is seen as a critical step towards ensuring the safe and ethical development of frontier AI systems.Responsible reporting for frontier AI development aims to ensure that critical safety information is shared with relevant stakeholders to mitigate risks. The paper outlines key features of responsible reporting, including the need for transparency, accountability, and collaboration among developers, governments, and independent experts. It emphasizes the importance of sharing information about AI risks, vulnerabilities, and mitigation strategies to improve risk management and regulatory responses. The framework proposes that developers disclose safety-critical information to government actors and other developers, who then decide on appropriate technical, organizational, and policy responses. Independent experts provide guidance to both developers and government actors. The paper discusses the challenges of implementing responsible reporting, including intellectual property concerns, reputational risks, legal liabilities, and coordination among developers. It also highlights the need for institutional mechanisms to facilitate responsible reporting, such as voluntary participation, anonymized reporting, and liability safe harbors. The paper suggests that responsible reporting could be integrated into regulatory frameworks, such as the U.S. executive order and the EU AI Act, to ensure that information is shared effectively and used to inform policy decisions. The authors argue that responsible reporting is essential for improving AI safety and governance. By sharing information about AI risks and mitigation strategies, developers can enhance their risk management practices, while policymakers can design more effective regulatory frameworks. The paper also emphasizes the importance of balancing transparency with the protection of commercially sensitive information. Overall, responsible reporting is seen as a critical step towards ensuring the safe and ethical development of frontier AI systems.