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FAIRGAME: Award-Winning Framework for Bias Recognition in AI Agents

Press/Media: Press / Media

Description

Artificial Intelligence (AI) systems are increasingly deployed as autonomous, decision-making agents across sectors such as finance, customer service, education, healthcare and digital governance. As these systems become embedded in everyday workflows, ensuring fairness, transparency and reliability has become critically important.

Researchers in our School of Computing, Engineering & Digital Technologies (SCEDT), working in the Centre for Digital Innovation (CDI) and the Interpretable & Beneficial AI (IBAI) group, have developed FAIRGAME – a novel and game-theoretic framework designed to detect and analyse bias in AI agents.

This research was internationally recognised at the 28th European Conference on Artificial Intelligence (ECAI 2025), one of the world’s most prestigious AI conferences. With only three papers receiving the Outstanding Paper Award from thousands of submissions, the recognition highlights both the significance and global impact of the work we undertake.

Subject

AI, complex system, game theory, LLM 

Period13 Jan 2026

Media contributions

1

Media contributions

  • TitleFAIRGAME: Award-Winning Framework for Bias Recognition in AI Agents
    Country/TerritoryUnited Kingdom
    Date13/01/26
    DescriptionArtificial Intelligence (AI) systems are increasingly deployed as autonomous, decision-making agents across sectors such as finance, customer service, education, healthcare and digital governance. As these systems become embedded in everyday workflows, ensuring fairness, transparency and reliability has become critically important.

    Researchers in our School of Computing, Engineering & Digital Technologies (SCEDT), working in the Centre for Digital Innovation (CDI) and the Interpretable & Beneficial AI (IBAI) group, have developed FAIRGAME – a novel and game-theoretic framework designed to detect and analyse bias in AI agents.

    This research was internationally recognised at the 28th European Conference on Artificial Intelligence (ECAI 2025), one of the world’s most prestigious AI conferences. With only three papers receiving the Outstanding Paper Award from thousands of submissions, the recognition highlights both the significance and global impact of the work we undertake.
    URLhttps://www.tees.ac.uk/sections/business/who_details.cfm?casestudyid=410&fbclid=IwY2xjawPUbvZleHRuA2FlbQIxMABicmlkETBjZWlmUkptOWJKWEtRdDdJc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHj72kf9PLLh1yI6_njmmlXBueiNmkKM-RliSeX6nrm8tHtbHIFvuhSvGIh-d_aem_AAhzCSEOUPjVGmM4yqtczw
    PersonsThe Anh Han
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