In an era marked by rapid technological transformation, this briefing paper series stands as a pivotal point of reference, guiding responsible transformation with artificial intelligence (AI).

This collaborative effort brings together over 250 members from more than 200 organizations. Structured around three core working groups (Safe Systems and Technologies, Responsible Applications and Transformation, and Resilient Governance and Regulation), the AI Governance Alliance addresses AI’s multifaceted challenges and opportunities.

This briefing paper series, representing collective insights, establishes foundational focus areas for steering AI's development, adoption and governance. The alliance serves as a beacon of multistakeholder collaboration, guiding decision-makers towards an AI future that upholds human values and enhances societal progress.

This paper navigates the complex rise of generative AI, emphasizing the balance between innovation, safety and ethics. It introduces a comprehensive framework centred on an expanded AI life cycle, robust risk guardrails and a shift-left methodology for early safety integration. Advocating for multistakeholder collaboration, the framework promotes shared responsibility and proactive risk management.

This foundational paper by the AI Governance Alliance sets the stage for ongoing efforts to ensure ethical and responsible AI development, advocating for a future where innovation is coupled with stringent safety measures.

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This paper examines the disruptive potential of generative AI and the imperative for leaders to adopt a use-case-based approach for its deployment. It guides organizations to assess use cases for business impact, operational readiness and investment strategy, and to balance benefits against potential workforce impact and downstream implications.

Emphasizing a multistakeholder approach, the paper advocates for responsible scaling strategies like transparent governance and value-based change management. This paper equips leaders with insights to responsibly harness generative AI’s benefits while preparing for its evolving future.

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This paper navigates the complexities of AI governance amidst rapid technological and societal changes. It compares national responses, focusing on governance approaches and regulatory instruments. The paper highlights key debates in generative AI, including risk prioritization and access spectrum, and advocates for international cooperation to prevent governance fragmentation. It emphasizes the need for equitable access and inclusion, especially for the Global South.

This briefing paper informs stakeholders in AI governance and regulation and lays the groundwork for the World Economic Forum’s AI Governance Alliance’s future initiatives on resilient and inclusive governance.

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