The Ethics of Generative AI: Analyzing ChatGPT's Impact on Bias, Fairness, Privacy, and Accountability

Pros and cons of Generative Artificial Intelligence (Intent), Many fields has its own use-case space for GAI. ChatGPT and systems like it give a sophisticated understanding of cognition along with content that is indistinguishable from humans, however these systems raise ethical issues in professional and social contexts. Challenges in the broad adoption of AI technologies including, accountability, fairness, bias and privacy arise as issues. These reforms will be critical as AI systems continue to be both developed and deployed, maintaining the crucial ethical standards and underpinning social trust. In the context of algorithmic biases, potential privacy violations, and an increased amount of risk due to automation in these critical decision areas; this paper provides a commentary regarding ethical concerns using generative AI. In addition, is the necessity of addressing these ethical challenges with tools like AI Ethics Impact Assessments, VADER Sentiment Analysis, TensorFlow's Indicators of Fairness, and continuous conversation.