± EDUCATION Abstract The Artificial Intelligence (AI) natural language model ChatGPT (Chat Generative Pre-trained Transfo…− HEALTH Abstract Interest in the use of chatbots powered by large language models (LLMs) to support women and girls i…± LIFESTYLE Artificial Intelligence (AI) has moved beyond calculation and cognition into the domain of emotion and experi…+ SCIENCE Abstract Autonomous agents have long been a research focus in academic and industry communities. Previous res…+ HEALTH BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in…± EDUCATION Medical education faces a scalability crisis, where rising class sizes strain individualized instruction, whi…± HEALTH BACKGROUND: The irrevocable alteration of medical education due to widespread access to large language models…− SCIENCE Online violence against women (OVAW) is a growing global problem with deepfakes in gender-based violence as o…
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TRV-2026-0369Certified recordPeer-reviewed

Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

This paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases, and societal inequalities. The ability of generative AI to produce convincing deepfakes and synthetic media, which threaten the foundations of truth, trust, and democratic values, exacerbates these problems. The paper combines perspectives from various disciplines…

Policy · P Space — documented harm · certified 2026-07-20 · v1 · article view · machine-readable

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Generative AI systems create risks of privacy loss, copyright infringement, misinformation, bias, and deepfake synthetic media that threaten truth, trust, and democratic values.

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Truvace Impact Record TRV-2026-0369, v1: “Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective.” Truvace, 2026-07-20. /record/TRV-2026-0369 (accessed at citation time). sha256 ffe0ad1e6a500549…

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