Rudrendu Kumar Paul 1 ; Bidyut Sarkar 2
1 Information Systems, Boston University, Boston, MA, USA.
2 IBM, New Jersey, USA.

Article Id - IJAIML_02_01_010, Pages : 95-102, Date of Publication : 16, November 2023

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The emergence of generative artificial intelligence (AI) has brought about transformative potential across various sectors, enabling the creation of sophisticated and realistic digital content. However, this technological leap forward raises significant ethical concerns that must be addressed to ensure the responsible deployment of AI systems. This paper delves into the societal impacts of generative AI, such as large language models and deepfakes, and scrutinizes the ethical challenges they pose, including the propagation of bias, the spread of misinformation, and the undermining of human agency. We propose an ethical framework that emphasizes transparency, accountability, security, and human oversight to navigate these challenges. Recommendations for implementing this framework include technical measures like watermarking synthetic media and policy interventions that balance regulation with the promotion of beneficial innovation. By advocating for an integrated approach that embeds ethical considerations into the technical design and corporate governance, this paper aims to contribute to the development of trustworthy AI systems that are aligned with societal values and human rights.


Generative Artificial Intelligence (Gen AI), Ethical Framework, AI Bias And Discrimination, AI Transparency And Accountability, Trustworthy AI Implementations, AI Regulation And Policy

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Rudrendu Kumar Paul and Bidyut Sarkar, Generative AI and Ethical Considerations for Trustworthy AI Implementation, International Journal of Artificial Intelligence & Machine Learning (IJAIML), 2(1), 2023, pp. 95-102.


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The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.

The Journal intends to serve as a forum for scholars from around the globe engaged in cutting-edge research on current issues in artificial intelligence and machine learning. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications.

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IJAIML Journal Stats

Publication years 2022-2023
Publication count 11
Total Volumes 2
Total Issues 2
Downloads 111
Views 2490
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