ICLR 2026PastOther

AI for Peace Workshop - ICLR 2026

AI4Peace

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Submission deadline: Feb 25, 2026, 01:00 UTC
OpenReview-synced 2026-02-25 01:00 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
Submission portal: OpenReview
Notes: Topics were auto-suggested and may be imprecise — edits welcome.

Accepted papers (16)

Fetched from OpenReview (v2) on 2026-06-10.

Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
David Guzman Piedrahita, Irene Strauss, Bernhard Schölkopf, Rada Mihalcea, Zhijing Jin · PDF
DIAL E FOR ETHICAL ENFORCEMENT: INSTITUTIONAL VETO POWER AS A GOVERNANCE PRIMITIVE
Subramanyam Sahoo, Vinija Jain, Aman Chadha, Divya Chaudhary · PDF
Dual-Use Attestations: A Verifiable Disclosure Primitive for Militarization-Risk Governance in ML Research
Murari Ambati · PDF
From Dual-Use Awareness to Dual-Use Agency: Epistemic Distance and the Structural Limits of Ethical Responsibility in AI Research
Varad Vishwarupe, Shwetanshu Shekhar · PDF
FROM SPEECH RECOGNITION TO ALGORITHMIC TRIAGE: HOW POST-9/11 INTELLIGENCE AUTOMATION RECONFIGURED POWER, BIAS, AND ACCOUNTABILITY
Utkarsh Srivastava, Rahul D Ray, Rishi Mohapatra · PDF
Ignore All Previous Instructions: Jailbreaking as a de-escalatory peace building practise to resist LLM social media bots
Huw Day, Adrianna Jezierska, Jessica Woodgate · PDF
Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models
Francesco Ortu, Joeun Yook, Punya Syon Pandey, Keenan Samway, Bernhard Schölkopf, Alberto Cazzaniga, Rada Mihalcea, Zhijing Jin · PDF
Public Health Under Fire: AI for Health in Conflict Zones
Juntao Jiang · PDF
Reframing Security in the Age of Militarized AI: Patriarchal, Decolonial, and Intersectional Perspectives
Gisela Lujan Andrade · PDF
SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests
Punya Syon Pandey, Lê Hải Sơn, Devansh Bhardwaj, Rada Mihalcea, Zhijing Jin · PDF
The implicated scientist: on the role of AI researchers in the development of weapons systems
Alexandra Volokhova, Alex Hernández-García · PDF
THE UPSTREAM BLIND SPOT: PEGASUS AND SURVEILLANCE INFRASTRUCTURES AS DUAL-USE AI RISK
Rishi Mohapatra, Rahul D Ray, Utkarsh Srivastava · PDF
Toward Algorithmic Disarmament: A Socio-Technical Framework for AI Non-Proliferation and Legal Verification
Xinran Li, Yudan Zhu, Lingjie Lyu · PDF
Upstream Dual-Use: Modelling, Epistemic Authority, and Institutional Harm in AI Systems
Valeriano Grasso · PDF
WHEN FAILURES TRAVEL: HOW NEGATIVE RESULTS IN OPEN AI RESEARCH ENABLE MILITARIZATION
Mahule Roy · PDF
When Peace Becomes an Externality: Structural Misalignment Between AI Safety, AI Ethics, and AI for Peace
Varad Vishwarupe, Shwetanshu Shekhar, Ritu Kuklani, Gururaj Shinde · PDF

Accepted papers (16)

☆Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models

☆DIAL E FOR ETHICAL ENFORCEMENT: INSTITUTIONAL VETO POWER AS A GOVERNANCE PRIMITIVE

☆Dual-Use Attestations: A Verifiable Disclosure Primitive for Militarization-Risk Governance in ML Research

☆From Dual-Use Awareness to Dual-Use Agency: Epistemic Distance and the Structural Limits of Ethical Responsibility in AI Research

☆FROM SPEECH RECOGNITION TO ALGORITHMIC TRIAGE: HOW POST-9/11 INTELLIGENCE AUTOMATION RECONFIGURED POWER, BIAS, AND ACCOUNTABILITY

☆Ignore All Previous Instructions: Jailbreaking as a de-escalatory peace building practise to resist LLM social media bots

☆Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models

☆Public Health Under Fire: AI for Health in Conflict Zones

☆Reframing Security in the Age of Militarized AI: Patriarchal, Decolonial, and Intersectional Perspectives

☆SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests

☆The implicated scientist: on the role of AI researchers in the development of weapons systems

☆THE UPSTREAM BLIND SPOT: PEGASUS AND SURVEILLANCE INFRASTRUCTURES AS DUAL-USE AI RISK

☆Toward Algorithmic Disarmament: A Socio-Technical Framework for AI Non-Proliferation and Legal Verification

☆Upstream Dual-Use: Modelling, Epistemic Authority, and Institutional Harm in AI Systems

☆WHEN FAILURES TRAVEL: HOW NEGATIVE RESULTS IN OPEN AI RESEARCH ENABLE MILITARIZATION

☆When Peace Becomes an Externality: Structural Misalignment Between AI Safety, AI Ethics, and AI for Peace

Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models

DIAL E FOR ETHICAL ENFORCEMENT: INSTITUTIONAL VETO POWER AS A GOVERNANCE PRIMITIVE

Dual-Use Attestations: A Verifiable Disclosure Primitive for Militarization-Risk Governance in ML Research

From Dual-Use Awareness to Dual-Use Agency: Epistemic Distance and the Structural Limits of Ethical Responsibility in AI Research

FROM SPEECH RECOGNITION TO ALGORITHMIC TRIAGE: HOW POST-9/11 INTELLIGENCE AUTOMATION RECONFIGURED POWER, BIAS, AND ACCOUNTABILITY

Ignore All Previous Instructions: Jailbreaking as a de-escalatory peace building practise to resist LLM social media bots

Preserving Historical Truth: Detecting Historical Revisionism in Large Language Models

Public Health Under Fire: AI for Health in Conflict Zones

Reframing Security in the Age of Militarized AI: Patriarchal, Decolonial, and Intersectional Perspectives

SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests

The implicated scientist: on the role of AI researchers in the development of weapons systems

THE UPSTREAM BLIND SPOT: PEGASUS AND SURVEILLANCE INFRASTRUCTURES AS DUAL-USE AI RISK

Toward Algorithmic Disarmament: A Socio-Technical Framework for AI Non-Proliferation and Legal Verification

Upstream Dual-Use: Modelling, Epistemic Authority, and Institutional Harm in AI Systems

WHEN FAILURES TRAVEL: HOW NEGATIVE RESULTS IN OPEN AI RESEARCH ENABLE MILITARIZATION

When Peace Becomes an Externality: Structural Misalignment Between AI Safety, AI Ethics, and AI for Peace