Systematizing Responsible AI & Governance

49%

of organizations say they'll institute an AI ethics program

33%

of organizations audit their AI systems for bias

35%

of organization are prepared to meet EU's regulatory requirements

Why AI governance matters

Without clear guardrails, AI systems can introduce bias, security vulnerabilities, legal exposure, and reputational risk. In fact, a lack of oversight is one of the leading reasons AI initiatives stall or fail to scale. *

AI governance provides the structure needed to responsibly manage AI technologies—defining roles, setting ethical standards, ensuring regulatory compliance, and aligning AI with business goals. It helps organizations mitigate risk while building trust among stakeholders, employees, and customers.

As AI becomes deeply embedded in decision-making processes, from hiring to healthcare, governance ensures systems are fair, secure, transparent, and aligned with human values.

With governance, companies can confidently innovate, scale solutions responsibly, and unlock AI’s full enterprise value.

What you can do

Establish an AI Governance program in your organization

Adopt a responsible AI governance program that establishes accountability and escalation paths, decision rights, and oversight structures across your AI lifecycle.

Implement AI risk and impact assessments

Evaluate risks across your AI use cases, applications, and systems using qualitative and quantitative assessments to identify, assess, and mitigate threats, while enhancing security and ensuring compliance.

Train users in AI ethics and literacy

Provide comprehensive AI ethics and literacy training for all your employees and relevant stakeholders across the AI value chain, enabling them to understand AI’s opportunities, risks, security, privacy, legal obligations, and potential harms.