Historically, AI’s biggest challenges were technological and economic,30 but today, trust in AI-driven processes is a key barrier. For AI to succeed at scale, individuals, companies and partners must trust and take responsibility for ensuring that processes powered by AI are safe, reliable and effective. While 95% of workers see value in genAI, their primary concern is whether organizations can ensure positive outcomes for all.31,32 Building trust starts within the organization. A global survey found that 61% of people hesitate to rely on AI systems,33 often due to concerns over data security and third-party involvement. By adopting trust principles in the development and deployment of intelligent technologies, trust can be built.34 Effective change management, whereby companies support employees in adopting AI through training and transparent communication on how to use the technology responsibly and effectively, can also lead to a more consistent, positive user experience with AI.35 At the cross-company level, trust is vital for data- sharing collaborations that strengthen AI, such as in federated learning. Leaders must address security, accountability and ethical concerns, ensuring AI solutions are secure, transparent, interoperable and fair. This encourages collaboration and reduces legal risks, promoting a trustworthy, collaborative ecosystem.36,37,38 To deploy AI responsibly,39 organizations are creating self-governance frameworks that complement regulations, enabling agility and risk mitigation. These frameworks help align AI deployment with company values and regional regulations, focusing on data privacy, security, transparency and AI’s broader impact. Self-governance integrates privacy, innovation and compliance to build trust, potentially increasing customer confidence by up to 30%.40 Companies should appoint a chief responsible AI officer or establish ethics committees to ensure AI practices align with regulations. Additionally, governance should be embedded in the tools developers and data scientists use, with clear policies to ensure compliance. In October 2024, a major US city launched an AI- powered app to help new entrepreneurs navigate the complexities of starting a business. The app intended to provide resources and guidance around navigating legislation, however, it often provided misinformation to business owners that could lead to them breaking the law. Consequently, the platform received public criticism and has degraded trust among its user base, prompting officials to revisit how the tool provides outputs.41CASE STUDY 10 Failure to responsibly deploy AI of people hesitate to rely on AI systems, often due to concerns over data security and third-party involvement.61% AI Governance Alliance: Transformation of Industries in the Age of AI 16 Industry-level enabler 2: Stakeholder trust in AI Company-level enabler 1: Industry self-governance 16 AI Governance Alliance: Transformation of Industries in the Age of AI

AI in Action Beyond Experimentation to Transform Industry 2025