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Tagged with: #ai-governance

Master the complexities of governing AI systems that make millions of decisions per second through frameworks designed for board-level oversight. These articles address the six key priorities boards face - from strategic alignment and ethical responsibility to risk management and stakeholder confidence. Learn how to establish accountability for AI decisions, implement human-in-the-loop processes, and create governance structures that enable innovation while ensuring transparency, compliance, and responsible AI deployment.

The Board in the machine

Llantwit Major | Published in AI , Board and Cloud | 10 minute read |    
Modern boardroom with subtle technological elements, featuring minimal digital overlays like abstract data streams and holographic charts, symbolising the integration of technology in decision-making. The image conveys sophistication and innovation in business governance. (Image generated by ChatGPT 4o)

I recently hosted a fireside chat for the AWS Summit EMEA with Intel’s Global Leader for AI Solutions, Monica Livingston. We discussed how Artificial Intelligence (AI) and Machine Learning (ML) are quickly becoming ubiquitous in business. The conversation prompted me to think about how Boards should be thinking about the use of AI and ML in their businesses, and how they need to ensure they are making the right decisions at the speed of light.