Large Language Models and Their Ethical Implications: The role of models like GPT and BERT in shaping future AI applications and their risks

Authors

Gaurav Kashyap

Abstract

An important turning point in the development of artificial intelligence (AI) has been reached with the introduction of large language models (LLMs), such as BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pretrained Transformer). Numerous applications in fields like language translation, content production, and customer service are made possible by these models' ability to produce text that is both coherent and contextually relevant. However, there are significant ethical concerns brought up by the growing use of LLMs, such as those pertaining to bias, privacy, accountability, and misuse potential. This study examines the ethical ramifications, deployment risks, and how LLMs will influence AI applications in the future. It talks about ways to reduce these risks and make sure LLMs are created and applied appropriately.
Large language models have garnered a lot of interest and been used in many downstream applications due to their impressive performance on a variety of tasks. These potent models do, however, come with some risks, including the possibility of private data leaks, the creation of offensive or dangerous content, and the development of superintelligent systems without sufficient security. The ethical ramifications of large language models are examined in this paper, with particular attention paid to the risks involved and how models such as GPT and BERT will influence AI applications in the future.

Keywords

Large Language Models, Ethics, AI Safety, Prompt Injection, Misinformation

Large Language Models and Their Ethical Implications: The role of models like GPT and BERT in shaping future AI applications and their risks. Gaurav Kashyap. 2020. IJIRCT, Volume 6, Issue 6. Pages 1-5. https://www.ijirct.org/viewPaper.php?paperId=2412096