Enhancements for Developing a Comprehensive AI Fairness Assessment Standard

Abstract--As AI systems increasingly influence critical sectors like telecommunications, finance, healthcare, and pub lic services, ensuring fairness in decision-making is essenti al to prevent biased or unjust outcomes that disproportionately affect vulnerable entities or result in adverse impacts. This need is particularly pressing as the industry approaches the 6G era, where AI will drive complex functions like autonomous netwo rk management and hyper-personalized services. However, as AI applications diversify, this standard requires enhanceme nt to strengthen its impact and broaden its applicability. This p aper proposes an expansion of the TEC Standard to include fairnes s assessments for images, unstructured text, and generative AI, including large language models, ensuring a more comprehen - sive approach that keeps pace with evolving AI technologies . By incorporating these dimensions, the enhanced framework will promote responsible and trustworthy AI deployment acr oss various sectors. The widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies has driven transforma-tive advancements across critical sectors, including tele communications, healthcare, finance, and public services.