What Are the Asilomar AI Governance Principles?

The Asilomar AI governance principles are a set of guidelines for developing and governing artificial intelligence so that it remains beneficial and avoids extreme, large-scale risks. The Future of Life Institute (FLI) — the organization behind them — describes itself as working to reduce extreme risks from transformative technologies and names the Asilomar principles as the work it is best known for. They are a reference framework for developers, policymakers, and researchers, not a law or a certification standard; treat them as a starting point for governance discussions rather than a compliance checklist.

What FLI is and why the principles matter

FLI's stated mission is "steering transformative technology towards benefiting life and away from extreme large-scale risks." Its focus areas include artificial intelligence and biotechnology, and it frames AI as either "an incredible tool that solves real problems and accelerates human flourishing, or a runaway uncontrollable force which destabilizes society, disempowers most people, enables terrorism, and replaces us."

That framing explains the purpose of the Asilomar principles: they translate a broad concern about extreme risk into concrete expectations for how AI should be developed and governed.

How the principles fit into FLI's wider work

The principles are one part of a larger governance effort. FLI organizes its work into four areas:

FLI also publishes an AI Safety Index and runs convenings such as The Pro-Human Assembly in Washington, D.C. Reading the principles alongside these later outputs gives a clearer picture of FLI's governance stance: it favors proactive, risk-aware policy engagement rather than purely voluntary developer discretion.

How to use the principles in practice

If you want to apply the Asilomar principles to a real decision — for example, drafting an internal AI review checklist or preparing comments on a proposed AI policy — a workable approach is:

1. Locate the current text. Go to futureoflife.org and find the Asilomar AI principles page rather than relying on secondhand summaries, since wording and framing can change.
2. Map each principle to your context. For an internal review, ask which principles bear on the specific system: research culture, transparency, safety, and long-term risk are common starting points.
3. Separate guidance from obligation. The principles are governance guidance; they do not by themselves create legal duties. Check applicable law separately — for instance, EU AI Act enforcement is a distinct track that FLI reports on but does not control.
4. Verify against FLI's later work. Cross-check your reading with FLI's AI Safety Index and policy updates to see how the organization currently interprets the same concerns.

Expected result: a short, defensible list of risk areas tied to named principles, which you can then attach to your own review or policy process.

Common sticking points

• Treating the principles as binding. They are not a regulation or certification. Organizations that present them as compliance evidence risk overstating what they have done.
• Assuming the list is static. FLI's positions evolve through its policy, research, and communications work; check the site for current material.
• Confusing FLI's advocacy with neutral standards bodies. FLI explicitly engages in policy advocacy in the US, EU, and globally, so its materials carry a point of view.
• Overlooking the newsletter and updates. FLI publishes monthly updates to more than 70,000 subscribers, which is a practical way to track how its governance thinking develops.

Bottom line

The Asilomar AI governance principles are FLI's best-known contribution to AI governance: a risk-focused framework for steering AI toward benefit and away from extreme harm. Use them as a structured reference for review and policy discussion, pair them with FLI's policy research and AI Safety Index for current context, and keep legal obligations in a separate track.