Singapore

AAAI 2026

Constructive Alignment: Reframing AI Alignment as Value Co-Evolution

It is my great pleasure and honor to welcome you to the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), held in San Diego, California, USA, July 2–7, 2026. ACL 2026 continues our fields tradition of excellence in scholarship, innovation, and inclusivity, and I am deeply grateful to the many volunteers who have worked tirelessly to bring this event to life.

It is exciting to see the many developments in the field reflected at our conference, such as the advancement of large language models (born out of our community) into many application directions. This is not without challenges, partly due to unsolved problems, and partly due to misuse of the technology. All this is reflected well at ACL 2026. The conference also reflects that the field is not only about advancing technology, but also the science of fundamentally understanding language and how it is use by many different speaker communities. 
[Full Message from General Chair Philipp Koehn](https://drive.google.com/file/d/1QiJFOmMjvDgsDo3i1XzlQnImxe3RU_Cy/view?usp=sharing) 
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ACL 2026

The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) will take place in San Diego, California, from July 2 - 7, 2026.

workshop paper

We are pleased to announce the Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), which will be held in Singapore EXPO from January 20 to January 27, 2026.

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-26 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and a range of other activities to be announced.

To access this event page, you need to log in with the **email address you registered with**. Access credentials will be sent to your email from Underline - subject line "Welcome to AAAI 2026". Please be sure to check your spam email folder if you do not see an email confirmation right away.

Please log in

To access this event page, you are required to register.
Please complete your registration to continue.

We recommend reading [**the registration information**](https://aaai.org/conference/aaai/aaai-26/registration/) first.

**Online Registration Form**: https://aaai.getregistered.net/conference-2026 

We are pleased to announce the Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), which will be held in Singapore EXPO from January 20 to January 27, 2026.

Human Centered AI Alone Will Not Ensure A Path To Human Empowerment

A Broad Framework for Ethical Oversight and Integration Inspired by Albania's Appointment of Diella

Maturity Expectation Bias in Multi-User LLMs Mediation

Charaka Vinayak Kumar, Ashok Urlana, Gopichand Kanumolu, Bala Mallikarjunarao Garlapati, Pruthwik Mishra

Behind the Words: A Comprehensive Study of Bias Detection Methods in LLMs

Red-Teaming Financial AI Agents: Stress-Testing Governance Protections in LLMs Against Market Manipulation and Regulatory Evasion

A Fair-Baseline Protocol for Evaluating Multi-Agent Governance in Continuous AI Ethics Compliance

Vincent Chang, Thee Ho, Sunishchal Dev, Kevin Zhu, Shi Feng, Kellin Pelrine, Matthew Kowal

Emergent Persuasion: Will LLMs Persuade Without Being Prompted?

Frédéric Berdoz, Luca A Lanzendörfer, Kaan Bayraktar, Roger Wattenhofer

Data Attribution in Large Language Models via Bidirectional Gradient Optimization

AI safety and alignment evaluations (benchmarks) have become de facto governance tools in the rapidly evolving landscape of artificial intelligence. However, these critical instruments themselves lack systematic governance oversight, raising the central question: "Who evaluates the evaluators?" Through a systematic mapping of 298 papers and in-depth thematic analysis of 50 core studies, this paper identifies fundamental governance challenges in current AI evaluation practices. The bibliometric analysis reveals explosive growth in this field since 2023, with persistent gaps in transparency, accountability, and institutional independence. This position paper synthesizes current knowledge on evaluation governance and proposes a future agenda grounded in three core principles: participatory design with adversarial scrutiny, radical transparency through "Evaluation Cards," and institutional pluralism to ensure independent oversight. The paper argues for a paradigm shift from "evaluating AI" to "governing evaluations," offering actionable recommendations for researchers, policymakers, and practitioners to build a trustworthy evaluation ecosystem.

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Human Centered AI Alone Will Not Ensure A Path To Human Empowerment

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