Register to attend our November virtual event, “AI Empowerment in the Workplace: Navigating New Opportunities & Organizational Shifts” 📅 November 20, 2024 | 🕚 11 AM EST | 🌐 Virtual

Accelerating Your Responsible AI Maturity

The RAI Institute empowers organizations to implement Responsible AI effectively. We provide practical tools, assessments, certifications, and training tailored to each member’s unique RAI journey. Our resources blend global regulatory insights with industry best practices, offering clear answers to ‘What do I do?’ and ‘Where do I start?

Responsible AI Adoption
97%
of organizations are actively engaging with AI, with 74% already incorporating generative AI technologies in production.
74%
of organizations lack a comprehensive, organization-wide approach to responsible AI.
41%
of leaders are realizing business benefits from their RAI efforts, compared to only 14% of Non-Leaders.
93%
of business executives agree that building and maintaining trust improves the bottom line.
94%
of executives face at least one challenge when building trust with stakeholders.
Previous slide
Next slide

Trust is won in drops and lost in buckets

In today’s unpredictable market, trust is a critical differentiator and the cornerstone of innovation, emphasizing the importance of getting AI right from the start and incorporating risk protection measures by design.

How We Help

Gaps Assessment

Our assessments provide roadmaps to enhance Responsible AI maturity at organizational and system levels.

Organizational Maturity Assessment (OMA): Evaluate organizational responsible AI maturity and receive guidance to improve practices. Mapped against ISO 42001 and NIST AI Risk Management Framework, OMA assesses alignments and gaps in responsible AI practices using actionable criteria at the organizational level.

System Level Assessment (SLA): Evaluate responsible AI maturity of specific AI system use cases. Focus: minimizing harm, bias, and errors; enhancing accountability and governance. Aligns with NIST AI Risk Management Framework, testing responsible AI criteria across AI system lifecycle.

Recommendations Blueprint

Our Recommendations Blueprint empowers member organizations by delivering a tailored overview of strategic recommendations and actionable next steps to elevate their Responsible AI maturity. This comprehensive guide addresses both organizational practices and specific AI system use cases, ensuring a holistic approach to ethical AI implementation and continuous improvement.

Implementation Guidance

Equips organizations with tools, knowledge, and expert support to integrate responsible AI practices. Provides training, Q&A sessions, leadership alignment, and custom asset development for effective AI implementation.

Training: Empower teams with essential knowledge and skills. Flexible options from on-demand to custom-built programs.

Interactive Q&A Sessions: Real-time insights from policy experts. Direct access to expert advice for complex AI challenges.

Leadership Validation Sessions: Align leadership with responsible AI best practices. Focus on validating AI value within organizational strategy.

Implementation Asset (Co-)Development: Create bespoke assets – policies, frameworks, tools – supporting responsible AI journey. Tailored to specific roadmap and objectives.

Thought Leadership

Harness the power of thought leadership to position your organization at the forefront of responsible AI. Our Thought Leadership Development offering provides members with the unique opportunity to co-create impactful content that showcases their expertise and commitment to responsible AI practices. Whether through blog posts, guidebooks, or case studies, we work closely with our members to craft compelling narratives that shape discussions around AI risks and opportunities.

The RAI Institute Certification Program is a comprehensive assessment and validation process for AI systems, ensuring they meet rigorous standards for responsible development and deployment.

  • Focuses on AI systems use cases
  • Independent third-party assessment of AI systems, applications, platforms, or products
  • Evaluates against detailed criteria, controls, and documentation requirements
  • Considers AI system’s domain, region, and type
  • Certifies specific AI system use cases, not individuals or organizations
  • Successful completion earns official RAI Institute certification mark
  • Signifies alignment with responsible AI practices and international standards
  • Certification scheme continuously tested and validated
  • Multidisciplinary expert community involved in scheme revisions and pilot results

The First Independent Certification Program for Responsible AI

Join the RAI Hub Community

Join the RAI Hub to access essential tools, expert guidance, and industry insights. Whether you’re starting out or scaling up, our resources help you implement AI responsibly and confidently. Stay ahead of regulations, connect with peers, and turn responsible AI into your competitive edge.