Overview

AI alignment asks whose values a system should follow and how to make its behavior reliably reflect them, especially when instructions are incomplete, people disagree, or systems act autonomously. Common approaches include learning preferences through human feedback, inverse reinforcement learning, constitutional and reward-based training, social-choice and mechanism-design methods, and runtime controls that restrict or verify actions. Evaluations range from preference and safety benchmarks to interactive agent tasks testing deception, oversight avoidance, goal drift, and behavior under pressure. A central tension remains between using imperfect, often aggregated human judgments as training targets and building systems that remain corrigible and accountable across changing contexts and real deployments.

Latest papers

CardsList

126 papers12 papers in the last four weeks, up 20% on the four weeks before. 0.1% of all new papers.

  1. The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem

    Apr 16, 2026Till Mossakowski, Helena Esther GrassAI AlignmentAI Agent Governance

  2. Principles Do Not Apply Themselves: A Hermeneutic Perspective on AI Alignment

    Apr 12, 2026Behrooz RazeghiAI AlignmentLLM Alignment

  3. AI Organizations are More Effective but Less Aligned than Individual Agents

    Apr 11, 2026Judy Hanwen Shen, Daniel Zhu, Siddarth Srinivasan +5Multi-Agent SystemsAI Alignment

  4. SysAdmin: Measuring Instrumental Power-Seeking in Frontier AI

    Apr 10, 2026Mana Azarm, Qiyao Wei, Rahul NambiarLanguage Model Safety EvaluationAI Alignment

  5. Identifying and Understanding Human Values in Text: A Tailorable LLM-based Architecture

    Apr 7, 2026Eduardo de la Cruz Fernández, Marcelo Karanik, Sascha OssowskiAI Alignment

  6. A mathematical theory of evolution for self-designing AIs

    Apr 6, 2026Kenneth D HarrisSelf-Evolving AgentsAI Alignment

  7. Disrupting Cognitive Passivity: Rethinking AI-Assisted Data Literacy through Cognitive Alignment

    Apr 3, 2026Yongsu Ahn, Nam Wook Kim, Benjamin BachHuman-AI InteractionAI Alignment

  8. I must delete the evidence: AI Agents Explicitly Cover up Fraud and Violent Crime

    Apr 2, 2026Thomas RivasseauAI Agent SafetyAI Ethics

  9. Bounded Morality: Defining the Space of Moral Computation

    Apr 1, 2026Max Kanwal, Caryn Tran, Patrick MineaultMoral ReasoningAI Alignment

  10. The Persistent Vulnerability of Aligned AI Systems

    Mar 31, 2026Aengus LynchAI Agent SafetyAI Alignment

  11. Human-in-the-Loop Control of Objective Drift in LLM-Assisted Computer Science Education

    Mar 31, 2026Mark Dranias, Adam WhitleyGenerative AI in EducationHuman-in-the-Loop AI

  12. Consequentialist Objectives and Catastrophe

    Mar 16, 2026Henrik Marklund, Alex Infanger, Benjamin Van RoyAI SafetyAI Alignment

  13. Social, Legal, Ethical, Empathetic and Cultural Norm Operationalisation for AI Agents

    Mar 12, 2026Radu Calinescu, Ana Cavalcanti, Marsha Chechik +2AI AlignmentResponsible AI

  14. AI Phenomenology for Understanding Human-AI Experiences Across Eras

    Mar 9, 2026Bhada Yun, Evgenia Taranova, Dana Feng +2Human-AI InteractionAI Alignment

  15. Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases

    Mar 8, 2026Shaun Feakins, Ibrahim Habli, Phillip MorganAI SafetyAI Assurance

  16. Visioning Human-Agentic AI Teaming: Continuity, Tension, and Future Research

    Mar 5, 2026Bowen Lou, Tian Lu, T. S. Raghu +1Human-AI CollaborationAgentic AI

  17. Solving adversarial examples requires solving exponential misalignment

    Mar 3, 2026Alessandro Salvatore, Stanislav Fort, Surya GanguliAdversarial ExamplesAdversarial Robustness

  18. UrbanAlign: Post-hoc Semantic Calibration for VLM-Human Preference Alignment

    Feb 23, 2026Yecheng Zhang, Rong Zhao, Zhizhou Sha +10VLM CalibrationVision-Language Alignment

  19. Interactionless Inverse Reinforcement Learning: A Data-Centric Framework for Durable Alignment

    Feb 16, 2026Elias Malomgré, Pieter SimoensAI AlignmentReinforcement Learning

  20. Evaluating Alignment of Behavioral Dispositions in LLMs

    Feb 11, 2026Amir Taubenfeld, Zorik Gekhman, Lior Nezry +8Human Preference EvaluationLLM Alignment