AI for Board Governance

Artificial intelligence is reshaping enterprise strategy, risk exposure, and operational systems. As a result, boards are increasingly responsible for structured AI governance oversight. Boards do not need to understand model architecture. They do need to ask better governance questions. The quality of AI oversight is often determined not by technical depth, but by the discipline of inquiry. These AI governance questions for boards are grounded in fiduciary responsibility and

Artificial intelligence discussions often blur the line between AI governance and AI ethics. For boards of directors, that distinction is not semantic. It is structural. AI ethics defines principles. AI governance defines accountability. Understanding the difference between AI governance and AI ethics is essential for directors who carry fiduciary responsibility. What Is AI Ethics? AI ethics refers to the principles that guide how artificial intelligence should be designed an

For our in person AI Board Governance in Practice event on 3/19/2025 we used the following resources. We also wanted to extend a huge thank you to the Silicon Valley AI Hub for hosting us and sponsoring the event. The AI Board Governance Compass Is comprised of four quadrants individual, board, organization and stakeholder. Each of them has 4 sub components for a total of 16 elements that boards should score themselves on. Associated Scoring Sheet The AI Board Governanc

Author:   Pooja Kashyap  is a technology enthusiast and Conversational AI Evangelist at Conversive AI , operating at the intersection of academia and industry while shaping thought leadership across the messaging and AI ecosystem. She is also a marathon runner with nearly 40 races completed since 2016, bringing endurance and curiosity to both her work and life. Prompt-generated image via Gemini In 2018, Amazon quietly scrapped an AI hiring tool  it had spent years building. T

Artificial intelligence is increasingly influencing strategy, operations, and enterprise risk. Yet many boards still treat AI as an occasional update rather than a recurring governance topic. If AI affects enterprise value, it belongs on the board agenda. The question is not whether AI should appear on the agenda. The question is how. Step 1: Clarify the Purpose of AI Discussions AI conversations can drift into technical detail unless the board defines its governance objectiv

A Glossary of Common AI Terms & Concepts by Tamara Gracon , Joanna Ridgeway , Paula Fontana , Jenny Kay Pollock and Reut Lazo . Here’s a quick guide to help you stay current in the AI era. From AGI to LLM, we’ve got you covered with clear, simple definitions of the terms you’ll hear most often in today’s conversations about artificial intelligence. 📘 Download the printable version A - C Agentic AI  – AI that can set and work toward goals on its own, making decisions and ada

Introduction: Why AI Belongs in the Boardroom Now Artificial intelligence isn’t just a future concern—it’s a present-day boardroom issue. From ChatGPT to AI-embedded SaaS platforms, AI is quietly transforming how companies operate, compete, and scale. Yet most private boards still lack a common language or framework to provide meaningful oversight. That’s why we created the Private Director’s AI Governance Compass . This framework helps directors cut through the hype, underst

Boards everywhere are realizing that AI isn’t just a technology topic, it’s a governance topic. The decisions being made today about...