Responsible Reporting for Frontier AI Development
Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have significant access to such information. By reporting safety-critical information to actors in government, industry, and civil society, these organizations could improve visibility into new and emerging risks posed by frontier systems. Equipped with this information, developers could make better informed decisions on risk management, while policymakers could design more targeted and robust regulatory infrastructure. We outline the key features of responsible reporting and propose mechanisms for implementing them in practice.
Authors
- Gillian K. Hadfield (ORCID: https://orcid.org/0000-0003-4124-8187)
- Jonas B. Sandbrink (ORCID: https://orcid.org/0000-0002-8244-956X)
- Markus Anderljung (ORCID: https://orcid.org/0009-0003-8766-9582)
- Joslyn Barnhart (ORCID: https://orcid.org/0000-0002-8661-6118)
- Lennart Heim (ORCID: https://orcid.org/0000-0002-2593-266X)
- Mikel Rodríguez (ORCID: https://orcid.org/0000-0002-3926-0753)
- Thomas Woodside
- Kevin M. Esvelt (ORCID: https://orcid.org/0000-0001-8797-3945)
- Noam Kolt (ORCID: https://orcid.org/0009-0007-2538-6295)
- Asher Brass
Institutions
- Google (United States) (US)
- Institute on Governance (CA)
- University of Toronto (CA)
- University of Oxford (GB)
- Google DeepMind (United Kingdom) (GB)
- Vector Institute (CA)
- Health Strategy and Policy Institute (VN)
- Center for Security and Emerging Technology (US)
- Centre for the Governance of AI
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Proceedings of the AAAI/ACM Conference on AI Ethics and Society
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1609/aies.v7i1.31678
- Citations
- 6
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 3.17