Responsible AI maturity by sector FIGURE 3 16% 15%10% 11%17% 14% 11%61%66%70%67%70% 52%70%22%17% 19% 21%12% 34%18%1% 2% 1% 1% 1% 0% 1% Aerospace, automotive and transport (n=240)Communications, media and technology (n=261)Financial services (n=222)Healthcare and life sciences (n=141)Consumer goods and services, retail and equipment (n=278)Public services (n=70)Chemicals, energy, utilities and natural resources (n=288) Stage 1 Stage 2 Stage 3 Stage 4 Source: Research by Accenture and Stanford Institute for Human-Centered AI; Maslej, N., L. Fattorini, R. Perrault, Y. Gil, et al. (2025). The AI Index 2025 Annual Report. Stanford Institute for Human-Centered AI; The responsible AI maturity index has been interpreted according to methods used in: Accenture. (2024). Responsible AI: From compliance to confidence. A detailed definition of maturity stages can be found in this report. A playbook to advance responsible AI innovation, informed by AI experts This playbook is designed to help organizations bridge the gap between responsible AI principles and real-world implementation. It emphasizes the importance of a strong, collaborative ecosystem, one that fosters public-private partnerships (PPPs) and international cooperation. Structured around nine plays, across three dimensions, the playbook offers practical guidance for both organizational and government leaders to tackle the internal and related external challenges of responsible AI implementation. While each play outlines coordinated steps and complementary actions for organizations and governments, the recommendations should be considered in the broader context of critical efforts led by other stakeholders, such as academia and civil society.The playbook is informed by insights gathered from extensive research, working group feedback, expert interviews and input from two in-depth workshops on targeted responsible AI topics: –Designing Effective Codes of Conduct (Global AI Summit on Africa, Kigali, May 2025), co-hosted with the Government of Japan, with the objective of identifying effective strategies for public-private collaboration in designing and implementing context-specific AI codes of conduct. –Unlocking AI Innovation through Responsible Data Sharing (AI Governance Alliance Community Meeting, San Francisco, June 2025), with the objective of developing practical approaches to address data sharing barriers. 7 Advancing Responsible AI Innovation: A Playbook

Advancing Responsible AI Innovation A Playbook 2025