AI Alignment and Safety refers to the field dedicated to ensuring that artificial intelligence systems, particularly advanced agentic and physical AI, operate in ways that are beneficial to humanity and aligned with human values. As we enter 2026, with breakthroughs in agentic AI enabling autonomous decision-making, the urgency for robust safety measures has never been greater. Misaligned AI could lead to unintended consequences, from biased outcomes in everyday applications to existential risks in superintelligent systems.
This wiki entry explores the core concepts, historical context, key techniques, and future trends in AI alignment. Whether you’re a developer, researcher, or policymaker, understanding these principles is crucial for responsible AI deployment.
Key Takeaway: In a world where AI agents like those showcased at CES 2026 can interact with the physical environment, alignment isn’t optional—it’s essential for sustainable progress.
