#ai-governance
The oversight, accountability, and controls that govern AI itself and make adoption safe to scale.
Tagged articles (45)
Navigating the AI Regulatory Maze: A Boardroom Survival Guide
The EU AI Act is in force, with fines up to €35 million or 7% of turnover. Boards must comply without losing speed.
From Shadow AI to Strategic Asset: Building Your AI Centre of Excellence
Shadow AI is already inside the organisation. A structured AI Centre of Excellence turns it from unmanaged risk into a strategic asset Boards can govern.
Increasing AI Maturity: Navigating the AI Stages of Adoption with the Five Pillars
Readiness for the next AI stage is a Five Pillars question, not a calendar one: a function advances only when every pillar reaches the threshold.
AI is transforming governance: Six key Boardroom priorities
AI takes Boards from overseeing hundreds of decisions a day to millions a second, each needing to be transparent, explainable and correct: six priorities follow.
The future of AI expertise: Building and managing AI-capable teams
AI's promise of productivity and innovation is delivered by teams, not tools. Building AI-capable teams draws on what the Cloud Centre of Excellence taught me.
Selecting your enterprise LLM: Moving beyond the hype to make the right choice
With well over a hundred language models available, choosing one is a question of fit, not headlines: match the model to the task.
Unlocking your data with AI: Insights from Monday.com Elevate
From my Monday.com Elevate keynote: the misconceptions about AI adoption, and how to put the data an organisation already has to work.
Harnessing AI for organisational change led from the Board
A guest lecture at the London School of Economics on harnessing AI for organisational change led from the Board.
The Board in the machine
AI and machine learning are becoming ubiquitous in business decisions, and Boards need to know what is deployed and how it is governed.
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