Journal of Research in Computer Science and Engineering ISSN: 2457-0818 (Online)

Authors:Niharika Sharma, Rashmi Jain

Abstract:Natural Language Processing (NLP) has made remarkable strides in recent years, revolutionizing how we interact with technology and one another. However, the rapid growth of NLP applications has brought to light pressing ethical concerns regarding bias and fairness. This paper explores the multifaceted landscape of ethics and bias in NLP, examining the potential societal impact of biased language models. It delves into the challenges of identifying, understanding, and mitigating biases in NLP systems while highlighting the importance of responsible development and deployment.

Keywords-:CMOSEthics, Bias, Natural Language Processing, Fairness, Inclusivity, Machine Learning, Societal Impact, Responsible AI, Regulation, Industry Initiatives, Bias Mitigation, Ethical Guidelines, Transparency.