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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →The Asilomar AI Principles are 23 voluntary, high-level guidelines intended to steer AI research and development toward beneficial outcomes. Coordinated by the Future of Life Institute (FLI) and developed in connection with the 2017 Beneficial AI conference, they address research practices, ethics and social values, and longer-term risks from advanced AI.
What the Asilomar AI Principles mean
The principles set out goals and responsibilities for people involved in AI research and development. Their opening principle says: “The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.” The full set is a statement of guidance, not a technical standard or a test showing that a particular AI system is safe.
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FLI dates their publication to 11 August 2017. The institute describes them as “one of the earliest and most influential sets of AI governance principles”; that is FLI’s characterization, not an independently measured assessment of their influence. Read the Asilomar AI Principles.
How the 23 principles are organized
FLI groups the principles into three sections, moving from how AI research is conducted to its social effects and longer-term implications.
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| Section | Principles | What they address |
|---|---|---|
| Research Issues | 1–5 | Beneficial research goals and funding; links between science and policy; cooperation among researchers; and avoiding races that could encourage safety shortcuts. |
| Ethics and Values | 6–18 | Safety and security, transparency about failures and judicial use, responsibility, value alignment, human values and privacy, shared benefits, human control, civic processes, and avoiding an arms race in lethal autonomous weapons. |
| Longer-term Issues | 19–23 | Caution about assumptions regarding future capability limits; the significance and risks of advanced AI; safety and control in recursive self-improvement or self-replication; and service to broadly shared ethical ideals and humanity. |
Where the principles came from
FLI coordinated the principles in connection with the Beneficial AI 2017 conference. Its account says organizers reviewed reports and a range of views about AI opportunities and threats, identified areas of overlap, surveyed conference attendees for suggestions, and revised the list for the meeting. This describes a consultation process involving conference attendees; it does not establish that every AI researcher or affected community participated or agreed. FLI’s account of the Asilomar discussion was first published on 18 January 2017.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the principles do—and do not—establish
- They provide normative guidance. The principles express aims for research, development and AI’s effects on society.
- They are not binding law. The cited FLI pages present them as principles, not legislation or a mandatory technical standard.
- They do not prove implementation or effectiveness. The existence of a principle does not show that an AI system follows it or that applying the set has produced particular real-world outcomes.
- They are not evidence of universal agreement. The development account describes input from conference attendees, not representation or endorsement by all stakeholders.
They are therefore best understood as a named framework of aspirations and considerations—not as certification that an AI system is beneficial, safe or accountable.
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