Sam Altman Outlines Vision for AI Safety and Human Agency at United Nations Security Council

Addressing the United Nations Security Council on September 23, 2026, OpenAI CEO Sam Altman called for international cooperation and unified standards to ensure artificial intelligence remains under human control. Altman warned against recursive self-improvement risks and power concentration, urging democratic oversight and global incident reporting channels to guide future AI progress. He emphasized that AI must enhance individual human agency rather than replace it.

RMN News Technology Desk
New Delhi | September 24, 2026

NEW YORK — In a historic address before the United Nations Security Council on September 23, 2026, OpenAI Chief Executive Officer Sam Altman called on world leaders to institute unified global safety frameworks for frontier artificial intelligence. Framing the rapid acceleration of AI capabilities as a pivotal crossroads for global governance, Altman stated that humanity faces a choice between entering a new Renaissance of discovery or enduring an Industrial Revolution marked by societal upheaval.

Mitigating Frontier Risks and Recursive Self-Improvement

Addressing representatives at the UN, Altman outlined two critical failure modes that international policy must prevent: the loss of human control over autonomous AI systems and the undue concentration of power among a limited number of entities.

Altman highlighted particular concern regarding recursive self-improvement, a phenomenon where advanced AI models autonomously refine their own architectures and code. As model development becomes increasingly automated, the velocity of technological change could surpass the speed of human oversight and democratic intervention.

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Referencing concerns previously articulated by computer scientist Professor Yoshua Bengio, Altman asserted that competitive pressure among technology companies or nations must never justify taking unacceptable safety risks. He underscored that OpenAI has unilaterally delayed model releases in the past to verify safety guarantees and will continue doing so whenever necessary.

Demonstrating Technical Milestones and Scientific Impact

To illustrate the accelerating trajectory of model intelligence, Altman highlighted recent breakthroughs in complex problem-solving. Beyond mastering international competition-level mathematics, OpenAI models recently solved the Navier-Stokes equations, one of the famous Millennium Prize Problems in mathematics.

Altman explained that resolving these fundamental fluid dynamics equations holds immediate real-world value, enabling advancements in aircraft design, climate forecasting, and medical research into blood flow dynamics. The goal of frontier model development, he noted, is to provide tools that expand human capability and accelerate scientific discovery across every continent.

Three Core Principles for Human-Centered AI

To ensure artificial intelligence serves humanity broadly, Altman presented three foundational principles guiding OpenAI:

1. Human-Centered Alignment: Automated systems must reliably remain under human control, reflect shared ethical values, and preserve human judgment rather than replace it.
2. Broad Distribution of Scientific and Economic Benefits: The economic growth and scientific discoveries generated by AI must directly benefit researchers, doctors, educators, and entrepreneurs worldwide.
3. Individual Empowerment and Agency: AI should increase individual autonomy and creative capacity, enabling people to solve local community challenges without being reduced to cogs in automated systems.

Establishing an International Framework for Global Governance

Emphasizing that critical decisions regarding AI deployment cannot be made solely by private laboratories in San Francisco, Altman advocated for robust democratic oversight and structured international collaboration.

To achieve global safety without locking in market incumbents or favoring specific corporate business models, Altman recommended three concrete governance mechanisms:

• Complementary Safety Standards: Standardized international metrics to evaluate model capabilities, assess systemic risks, and guarantee meaningful human oversight as systems grow more autonomous.
• Rapid Incident Reporting Protocols: Standardized classification and swift reporting mechanisms so governments and researchers can learn from system failures before they cause widespread harm.
• Secure Vulnerability Channels: Dedicated communication channels connecting governments, critical infrastructure operators, and technical researchers to share emerging security threats in real time.

Altman concluded his address by urging competing nations to find common ground, pointing to historical precedents where global powers united to manage transformative technologies for public safety and the collective good.