The Call for AI Governance

"The Call for AI Governance" is a Deloitte report that explores how organizations can manage the benefits and risks of artificial intelligence (AI) through effective governance structures. AI has become essential for businesses, offering productivity improvements but also presenting challenges such as data biases, system failures, and cybersecurity risks.

The report highlights two key components of AI governance:

1. Quality Management System (QMS): This system, primarily aimed at AI developers, ensures that systems are built to quality standards. It includes detailed technical documentation, rigorous testing, and conformity assessments to prevent defects from the start of development.

2. Risk Management System (RMS): This system, aimed at AI users, focuses on monitoring system performance, logging issues, and quickly resolving failures. It ensures that AI systems continue to function correctly over time.

The document also analyzes the EU's AI Act, the first global AI regulation, which categorizes AI systems by risk level and imposes stricter requirements for "High-Risk" systems. It explains the difference between single-purpose AI systems (SPAI) and general-purpose AI models (GPAI).

The report proposes a comprehensive approach to AI governance based on four pillars:
- Structures: Steering committees, clear roles, and responsibilities.
- Practices: Oversight, qualifications, and empowerment.
- Processes: Approvals, risk assessments, and rigorous testing.
- Systems: Technological platforms to automate governance.

Finally, the document emphasizes that good AI governance not only meets regulatory requirements but also provides tangible benefits, such as avoiding costs associated with quality defects, business interruptions, non-compliance penalties, and reputational damage. It highlights Deloitte's AI Quality & Risk Management solution as a tool for implementing effective and efficient governance.