Elizabeth Gilbert

The AI governance world is getting crowded. We now have: Risk management frameworks Sectoral regulations Corporate governance and compliance standards Internal AI policies and assurance programs These tools have moved us beyond the “move fast and break things” era. But even as they evolve, they largely share the same center of gravity: technical and procedural control. What they don’t do is answer a simpler, more human question: Are the people leading our AI efforts ethically ready for the...

Artificial intelligence has moved from labs into the heart of everyday life. It decides which patients get seen first, how freight moves across the country, which transactions are flagged as fraud, and which citizens get extra scrutiny. Algorithms now sit in the room where consequential decisions happen. Because of this, regulators and standards bodies are building increasingly sophisticated AI rules: risk management frameworks, safety guidelines, bias tests, transparency requirements. These...

In the vast and intricate tapestry of modern industry, where the threads of innovation and responsibility intertwine, the pursuit of sustainable corporate practices emerges as a beacon of hope and a testament to enlightened leadership. It is within this delicate balance that organizations, particularly those navigating the labyrinthine corridors of regulated industries and the ethical frontiers of artificial intelligence, find their true calling. The journey toward a better future demands not...