How to create a straightforward, practical AI governance structure and policy that defines accountabilities and governance mechanisms. Most importantly, one that works.
How to write effective AI Governance policies while avoiding the worst mistakes that could undermine the success of your governance initiatives.
How to purposefully prepare your team for opportunities and meaningful careers against a backdrop of tech layoffs and AI-fuelled automation.
AI governance already has the scaffolding of laws, frameworks, committees, standards and rules. What's missing is the design discipline and practice to build and sustain real safety and security.
Most of you reading this aren’t 19-year-olds picking a degree. You’re mid-career professionals trying to pivot. Here’s my story and my advice on how to actually win your first role.
A brief playbook for those critical first days in your new role, working to turn good intent into the real practice of making AI safe, secure and lawful.
How agentic browsers break digital strategies, displace workforces, evade security controls and amplify harm to create governance challenges for everyone from the board to the engineering team.
How the concepts of adaptive mechanisms at the core of Amazon's success can transform your approach to AI Governance from good intent to real impact.
Why simple regulatory categories of providers and deployers are not the best way to think about practical risk management in the AI supply chain.
We've launched AI Career Pro today as our next step building the talent and tools for high integrity AI Governance
Training, tools and community for success as an AI Governance Practitioner. Learning to bridge the gap between theory and practice.
Keeping human judgement sharp through a culture of disciplined skepticism in high-stakes, AI-powered decision making.
