Abstract
With applications in business, healthcare, education, science, and the creative industries, generative artificial intelligence (AI) has become a game changing technology. It is fostering innovation and increasing productivity by facilitating multimodal outputs like text, images, and code, but it is also bringing up important social and ethical issues. This study examines the dual trajectory of generative AI: its potential for drug discovery, economic growth, personalized learning, and creative workflows, as well as its risks for bias, disinformation, intellectual property disputes, environmental costs, and governance gaps. The study highlights the necessity of proactive safeguards through technical protections, ethical playbooks, and regulatory frameworks, drawing on recent developments and international policy responses. To overcome these obstacles, we put forth the Ethical Generative AI Governance Framework (EGAI-GF), which incorporates sustainability, equity, and transparency throughout the AI lifecycle. The study comes to the conclusion that in order to guarantee that generative AI maximizes human potential while respecting societal values, interdisciplinary cooperation and responsible innovation are crucial.
Keywords
Multimodal Models, Governance, AI Safety, Ethical AI, and Generative AI
Citations
IRE Journals:
Ordu, Princewill Okey , Ekine-Pakaye Adline Chidinma , Eze Chimdiya C.
"Future of Generative AI: Opportunities and Ethical Concerns" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 833-845
IEEE:
Ordu, Princewill Okey , Ekine-Pakaye Adline Chidinma , Eze Chimdiya C.
"Future of Generative AI: Opportunities and Ethical Concerns" Iconic Research And Engineering Journals, 9(4)
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