AI risks can no longer be neglected, especially as AI continues on a path of increasingly intelligent capabilities, a widening scope of domain applications, and greater levels of autonomy.

Forward-looking economic and political actors face strong incentives to carefully consider the promise and pitfalls associated with the growing ubiquity of AI. In spite of the fast-moving and sometimes unpredictable nature of AI developments, it is becoming clear that tech-savvy solutions—addressing AI-Resilient IT Security (safeguarding), AI Trustworthiness (auditing), AI-Centric Risk Management (governing), and AI-Aware Digital Authenticity (verifying) —will form a vital part of a societal adoption of advanced AI systems that maximise the promise and minimise the pitfalls.

Whether for reaping the benefits of using responsible AI technologies in their own operations, preventing societal and economic disruption through wise regulation and management, or receiving a share of AI Assurance Technology companies’ growth, investors, entrepreneurs, and policymakers have a pivotal role to play in the years to come. Cooperation from these groups will support a flourishing ecosystem of AI risk-mitigating innovations—what we term the AI Assurance Technology (AIAT) Landscape. It is these AIAT solutions that are not only poised to fill technical gaps at-scale, but necessary to maximise the benefits of a world deeply embracing AI.

Now is the time to act on this shared opportunity, transforming imminent risks into realised rewards. Below are our recommendations to clarify how.