MEW 2026
Machine Ethics: from formal methods to emergent machine ethics

Table of Contents

• Preface
  Summary: There were 23 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 8 as regular papers and 2 as short paper (1 withdrawn, 1 no show).

Regular Papers

• Constructive Alignment: Governing Preference Dynamics in Human–AI Interaction 1-23
  Max Kanwal, Caryn Tran
• Bounded Morality: Defining the Space of Moral Computation 24-47
  Max Kanwal, Caryn Tran, Patrick Mineault
• Vertical Moral Growth for Robust Alignment: Perspective-Based Fine-Tuning Reduces Deception in Large Language Models 48-60
  Taichiro Endo
• Gender Bias in Emotion Recognition by Large Language Models 61-73
  Maureen Herbert, Katie Sun, Angelica Lim, Yasaman Etesam
• Learning from Mistakes: Can LLM Self-Recover after Misalignment? 74-83
  Olga E. Sorokoletova, Francesco Giarrusso, Vincenzo Suriani, Daniele Nardi
• Optimizing a Margin of Safety via Prompt Repair for Large Language Models 84-93
  Jessica Tang, Silviu Pitis, Sheila A. McIlraith
• Core Safety Values for Provably Corrigible Agents 94-107
  Aran Nayebi
• JETHICS: Japanese Ethics Understanding Evaluation Dataset 108-117
  Masashi Takeshita, Rafal Rzepka

Short Papers

• Governance Forms in the Age of Superintelligence: An Aristotelian Analysis 118-123
  Misaki Inoue
• Building Interpretable Models for Moral Decision-Making 124-131
  Mayank Goel, Aritra Das, Paras Chopra

Invited Talk

• Invited Talk: Between Rules and Reasoning: Towards Machine Morality 133
  Elizaveta Tennant