Navigating the Ethical, Organizational, and Societal Impacts of Generative AI: Balancing Innovation with Responsibility
Navigating the Ethical, Organizational, and Societal Impacts of Generative AI: Balancing Innovation with Responsibility
This paper explores the multifaceted impacts of generative AI on individuals, organizations, and society. It addresses key challenges such as ethical dilemmas, data privacy concerns, and regulatory issues, offering actionable recommendations to leverage the potential of AI while mitigating its risks. The paper emphasizes the importance of balancing innovation with responsibility, providing insights into the development of frameworks for ethical AI adoption across industries.
data privacy, Artificial intelligence, AI ethics, transformer models, Generative AI, regulatory compliance, organizational transparency, Machine learning, societal impact, neural networks, Data protection
data privacy, Artificial intelligence, AI ethics, transformer models, Generative AI, regulatory compliance, organizational transparency, Machine learning, societal impact, neural networks, Data protection
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