What Will It Look Like to Insure Against AI Risks?
In the evolving landscape of artificial intelligence (AI), the intersection of technology and insurance is garnering significant attention. As policymakers and researchers strive to establish legal and regulatory frameworks to manage AI risks, there is a growing focus on private governance mechanisms, particularly the role of insurance in mitigating these risks.
The Role of Insurance in AI Governance
While the impact of AI on the insurance industry has been widely discussed, less attention has been given to how the insurance sector can influence the development and implementation of AI technologies. Insurers traditionally identify and manage potential risk factors that could lead to policy claims, estimating the financial implications of these risks.
For instance, if insurers can confidently predict and manage specific risks associated with AI, they may offer coverage to entities involved in AI development or deployment. Such insurance policies often come with built-in controls, requiring policyholders to adopt certain risk management practices to either obtain or maintain coverage.
Incentives for Risk Management
Insurance providers may also incentivize responsible behavior by reducing premiums for organizations that adopt recognized standards, such as ISO/IEC 42001, which focuses on AI governance and risk management. For example, the startup Armilla AI has indicated that it will consider an organization’s adherence to this standard in its underwriting process, promoting a culture of responsible AI development.
Insurance as a Governance Mechanism
There is speculation that private insurance could function not only as a risk management tool but also as a governance mechanism that encourages preventive measures and the responsible adoption of innovative technologies. However, for insurance to be effective in this role, policies must be structured to motivate developers and deployers of AI to proactively address known risks, rather than fostering complacency due to the safety net of coverage.
Research Initiatives
To explore the extent to which insurance might shape responsible AI practices, the AI Governance Lab has launched a research agenda aimed at understanding how insurers assess insurability, identify risk factors, and develop financial models of potential harms. Their initial paper, presented at the EurIPS ‘25 workshop titled “Beyond Regulation: Private Governance & Oversight Mechanisms for AI,” outlines various stakeholders within the private insurance industry and their potential influence on AI development and use.
The AI Governance Lab is actively seeking to connect with experts and practitioners in this field. Interested parties are encouraged to reach out via email to share insights and perspectives.
For further details, the full paper can be accessed through the relevant channels.
