The Responsible AI Institute highlights the importance of AI Governance in organizations as AI systems continue to be adopted and advanced. The institute emphasizes the need for oversight to address concerns such as bias, data ownership, privacy, accuracy, and cybersecurity. AI Governance includes principles, frameworks, laws, policies, voluntary guidelines, and standards that are designed to ensure the safe and responsible development and deployment of AI. Organizations are urged to establish AI Governance programs, develop principles and policies, comply with existing laws, and stay updated with emerging regulations. The Responsible AI Institute offers certification programs to simplify compliance with AI standards and supports organizations in implementing Responsible AI practices.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Increasing calls for AI oversight | Increased regulation and governance of AI | More comprehensive and standardized AI governance practices | Concerns related to bias, privacy, accuracy, and cybersecurity |
| AI Governance becoming foundational | Emphasis on responsible development and deployment of AI | Increased focus on establishing and implementing AI Governance practices | Mitigating potential risks and realizing the full potential of AI |
| AI Governance shaped by various stakeholders | Collaborative development of AI Governance mechanisms | Continued evolution and refinement of AI Governance practices | Input from lawmakers, civil society organizations, legal experts, and industry leaders |
| Mandatory laws and policies for AI | Legal frameworks for AI use and oversight | Adherence to laws and policies related to AI systems | Ensuring compliance and addressing legal issues |
| Voluntary guidelines for AI | Industry best practices and current policymaker thinking | Source of guidance for AI practices before mandatory regulations | Collaboration between governments, industry, and civil society organizations |
| Development of AI standards | Standardization of AI definitions, objectives, and evaluation measurements | Adoption and reference of relevant AI standards for compliance and best practices | Providing benchmarks and authoritative sources for AI practices |
| Establishment of Responsible AI programs | Integration of AI governance within organizations | Implementation of governance practices, risk reviews, and continuous monitoring | Mitigating risks and ensuring corporate values and social responsibility commitments |
| Urgent need for AI Governance programs | Organizational readiness for AI laws and regulations | Establishment of AI Governance programs to meet regulatory requirements | Preparation for compliance and protection of customers |
| Steps to building a Responsible AI program | Development of governance structures, policies, and frameworks | Rapid progress towards comprehensive Responsible AI program | Providing a foundation for future compliance and customer protection |