This Library was created with a goal to promote higher standards in how we teach, share, and apply AI governance. Too many resources out there are either too academic to act on, too vague to trust, or quietly built to push a product or consulting service.
I aim to make this library different.
AIGL is a curated space for professionals who want actionable content—something they can apply inside teams, programs, and board-level strategies.
It’s built with three core commitments:
• Usefulness comes first: Every resource must be practical. Not theoretical, not promotional—practical.
• No hidden sales funnels: Resources cannot be created to sell a course, a book, or a service. I sometimes engage in commercial partnerships, but they will be openly disclosed in the "Partners" section of the Library.
• No outdated material: If a publication no longer reflects the current state of the field, it doesn’t belong here.
This is not a library for shelfware. It’s a working set of tools for people doing the work.
Who this is for ?
Whether you’re building internal governance models, advising leadership, working through compliance requirements, or training the next generation—AIGL is here to support your work, not distract from it.
If you’re a policy leader, risk executive, privacy lead, responsible AI officer, or just trying to keep pace with the implications of AI in your domain, this library is for you.
About the Author
AIGL is created and maintained by Jakub Szarmach, an attorney-at-law with over 15 years of experience in IT law, regulatory compliance, and AI governance.
Independence & Transparency
I am not affiliated with the authors of the resources featured in this library. No one pays to be included, and no content is placed here as part of a promotional arrangement.
If AIGL ever enters into a commercial partnership—whether for sponsorship, affiliate links, or other types of collaboration—it will be disclosed clearly and documented in the Partnerships section.
Trust is earned. And in this space, it matters.
