Authors: Battula Sravani, Dr. Alugolu Avinash
Abstract: Recent breakthroughs in Natural Language Processing (NLP) and deep learning have enabled applications such as intelligent assistants and real-time content generation. However, with these applications being increasingly woven into the fabric of our daily lives, we must ensure that they are being used responsibly and ethically. Contemporary ethical issues are significantly more complex than traditional concerns, such as transparency in decision-making, protection of person-al data, environmental sustainability of large- scale models, and safe use in social settings. This paper discusses the integration of ethical principles into the development of NLP systems. This Paper discuss how interpretable and privacy-respecting models can be developed, how negative impacts can be mitigated, and how accountability in automated decision-making can be ensured. Moreover, we propose a framework to help developers in the application of these principles throughout the AI development lifecycle, from data acquisition to model evaluation and deploy-ment. By combining ethical principles and technological advancements, this research aims to ensure the development of NLP systems that are both extremely effective and socially responsi-ble. This paper offers real-world guidance to researchers and developers, urging them to develop NLP technologies for the betterment of humanity while ensuring safety, trust, and positive social impact.
