Today, technology—particularly artificial intelligence (AI)—has profoundly transformed every aspect of our lives, shaping not only how we utilize technology but also how we make decisions. Among the most groundbreaking AI advancements are large language models (LLMs), which have revolutionized the processing, understanding, and generation of human-like text. These models have seamlessly integrated into various systems, including social media, significantly influencing our social sphere. The impact of AI spans across domains such as healthcare, education, and manufacturing, reshaping industries and redefining the way we interact with the world.

However, despite the remarkable progress AI has achieved, there exist limitations, particularly issues of bias. Numerous cases have highlighted how biased AI systems have unfairly impacted lives, such as in the justice system and banking sector, where decisions influenced by these systems have led to unjust outcomes. This emphasizes the urgent need to develop technology that is inclusive, fair, and ethical AI—commonly referred to as responsible AI. Achieving this goal requires a deep understanding of both the technological foundations and their broader societal implications.

In this project, we aim to explore the implications of AI from both technological and societal perspectives, focusing on how AI can be refined to reduce bias and promote fairness, thereby mitigating instances of unfairness that may arise as a result of the use of the biased AI systems.

Persons Involved:

1. Tek Raj Chhetri
2. Abhash Shrestha
3. Rubika Bashyal