Accelerating Your Responsible AI Journey
Developing a mature responsible AI program in your organization takes commitment, time, and resources. Getting your responsible AI journey started has become ever more important for all types of organizations building, buying or supplying AI systems.
Prepare to comply with emerging laws and regulations
Accelerate the development and deployment of systems
Avoid acquiring technical debt created by non-compliant products
Mitigate business risk and harms caused by potential incidents
Accelerating Your Responsible AI Journey
Developing a mature responsible AI program in your organization takes commitment, time, and resources. Getting your responsible AI journey started has become ever more important for all types of organizations building, buying or supplying AI systems.
Building AI
- Organizational Maturity Assessment (OMA) with policy and governance roadmap/recommendations
- Generic System Level Assessment (SLA) remediation roadmap
- Policy and governance foundations
Buying AI
- Procurement process landscape review to baseline current practice
- Recommendations and tools based on current maturity
- Supplier assessment/qualification/checklist
- Responsible AI procurement templates (MSA, etc.)
- Documentation requirements
- Recommendations for contract language
Supplier Preparedness
Most organizations purchasing technology products have added stringent diversity and security requirements into their contracts, and it’s expected they will soon have to demand the same for responsible AI. The Supplier Preparedness program helps you to identify opportunities to improve your responsible AI practices and to meet, and perhaps even exceed, your client’s expectations for trusted and responsible AI, giving you a lasting advantage in the market.
Supplying AI
- Supplier Maturity Assessment (SMA)
- System Level Assessment (SLA) for 1 system in the design phase
- Policy and governance roadmap including recommendations for remediation
- Documentation requirements to be prepared to answer the most common occurrences in RFPs
- Contract language recommendations
Responsible AI Conformity Assessments
The RAI Institute’s responsible AI assessments help you demonstrate that your AI systems and organizational practices fulfill the requirements of agreed-upon responsible AI regulations, laws, best practices, specifications, and standards. RAII continuously works with experts to update and validate its Responsible AI Framework, the foundation for all our assessments, composed of 6 dimensions for the evaluation of AI systems and 5 dimensions for the evaluation of organizational maturity.
Types of responsible AI assessments
Our assessments are built with the needs of organizations and regulators in mind, as well as those of their clients, investors and other key stakeholders. We built conformity assessments for high-risk AI systems (or products), for responsible AI practices in organizations, and for the responsible AI practices of technology suppliers.
Responsible AI System-Level Assessment (SLA)
The RAI Institute’s responsible AI SLA evaluates AI systems across 6 dimensions of responsible AI: Data and System Operations, Explainability and Interpretability, Accountability, Consumer Protection, Bias and Fairness, and Robustness.
Responsible AI Organizational Maturity Assessment (OMA)
The RAI Institute’s responsible AI OMA evaluates an organization’s practices across 5 dimensions of responsible AI maturity: Policy and Governance, Strategy and Leadership, People and Training, AI System Documentation and Procurement Practices.
Responsible AI Supplier Maturity Assessment (SMA)
Based on the same dimensions as the Organizational Maturity Assessment, the responsible AI SMA evaluates a supplier’s organizational responsible AI practices to bring an extra layer of trust between suppliers and their clients.
How Conformity Assessments Work
Conformity assessments can be performed differently depending on the level of assurance demanded by regulators, investors, clients, auditors, or even by your internal compliance team.
Self-Evaluation
Independent Evaluation
Independent or Accredited Audits
Some regulations require high-risk AI systems to be evaluated through an independent and accredited auditor – such a mechanism is currently the only way to deliver the RAI Institute’s Responsible AI Certification Program for AI systems.
The First Independent, Accredited Certification Program for Responsible AI
The RAI Institute’s Responsible AI Certification Program for an AI System is an independently delivered audit that demonstrates alignment with the requirements of RAII’s accredited and specifically calibrated conformity assessments, looking at a system’s tasks, region of operations, and industry relevant risks and regulations. Learn more by consulting the documentation below: