Affiliation:
1. C. V. Raman Global University, India
Abstract
Generative artificial intelligence has enormous promise in business, marketing, finance, education, and healthcare sectors. It can have an impact on areas like consumer engagement and fraud detection. But it also poses difficult problems. Decision-making is hampered by technological barriers like data quality, explainability, and authenticity, as well as economic issues like income inequality and possible job loss. Privacy, bias, and misuse are all examples of ethical dilemmas. To address these, thorough norms that guarantee accountability, openness, and equity are needed. Meeting societal requirements and fostering collaboration requires advancing AI education and human-centric cooperation. Rules and guidelines that emphasise empathy, clarity, and ethical norms must be established to steer AI research and development toward responsible and ethical practices in order to effectively manage these obstacles.
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