Building digital trust: AI governance strategies
Seven steps for staying ahead of customer and regulatory demands for sound AI governance

In today's rapidly evolving business landscape, artificial intelligence (AI) is revolutionizing industries and transforming the way organizations operate. However, the increasing reliance on AI also introduces significant risks, including ethical concerns, data breaches, and unintended biases. Our latest whitepaper, "Building digital trust: AI governance strategies," provides strategic insights and practical guidance on navigating these challenges to help ensure the responsible development and deployment of AI.
Overview of AI governance
The ISO 42001 standard provides a holistic framework for AI governance, enabling organizations to manage risks and opportunities associated with AI. A robust AI governance program involves:
- Determining organizational objectives, involvement of interested parties, and organizational policy
- Managing risks and opportunities, including addressing concerns related to the trustworthiness of AI systems
- Managing suppliers, partners, and third parties that provide or develop AI systems for the organization
Benefits of adopting an AI governance system
Adopting an AI governance system can yield several benefits, including:
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Seven keys to a strong, sound AI governance program:
- Take an AI inventory
- Conduct a readiness assessment
- Craft or refine AI policies and procedures
- Develop a detailed roadmap
- Get approval of senior management
- Monitor and optimize performance
- Manage your suppliers
Dive into our thinking:
Building digital trust: AI governance strategies
Seven steps for staying ahead of customer and regulatory demands for sound AI governance
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