As generative AI reshapes industries, the uneven distribution of risks among tech companies, deployers, and developers poses significant challenges to sustainable innovation and responsible AI adoption. Establishing a framework for equitable risk burden is crucial not only for fostering trust and collaboration within the AI ecosystem but also for ensuring long-term growth and mitigating potential regulatory backlash.

•      Implementing transparent risk-sharing agreements across the AI value chain

•      Collaborating on industry-wide standards for risk assessment and mitigation strategies

•      Advocating for balanced regulatory frameworks that distribute responsibility fairly among stakeholders