Building trust in AI
through AI governance, literacy and research.

EqualAI works to ensure that AI governance and human understanding keep pace with technological progress. We translate governance principles into practice, advance AI literacy, and bring together leaders across industry, government, and civil society to strengthen trust and enable AI adoption.

AI Literacy Initiative Tour

New White Paper

Agentic AI Governance: A Practitioner Roadmap for Deploying Agentic AI

Agentic AI is being deployed at scale across industries, but governance has not kept pace. In May 2026, EqualAI convened senior leaders from top AI developers and deployers to define the requirements and current challenges for effective agentic deployment, then stress-tested these conclusions under simulated crisis conditions. The result may be among the earliest practitioner-generated roadmaps for agentic AI governance at enterprise scale, built from the leaders deploying these systems today.

 

Become badge certified in AI self-governance

Panelists and participants include:

Featured Programs and Resources

AI Literacy Initiative

Resources and insights to enable broader adoption.

EqualAI Badge Certification

Expert-led certification program for effective AI governance.

Research and Publications

Publications, white papers, and analysis.

EqualAI Summit

Convening industry & policymakers for trustworthy AI.

Algorithmic Impact Assessment (AIA) Tool

A user-friendly tool to operationalize best practices.

Hill AI Breakfast Series

Event series for Capitol Hill staff working on AI-related policy and legislation

In AI We Trust? is a podcast with Miriam Vogel of EqualAI that amplifies leaders and voices from across society who are defining, developing, and deploying AI best practices across government, industry, academia, and civil society. In each episode, Miriam sits down with guests to demystify the technology, discuss the importance of AI governance and AI literacy, and spark conversations about people’s hopes, fears, and opportunities in an AI-shaped future.