The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art

2025-07-07

AI Summary

This study systematically identifies five core ethical dilemmas arising from generative AI art: environmentally harmful carbon emissions, copyright infringement in training data sourcing, proliferation of disinformation via deepfakes, unauthorized exploitation of celebrity likenesses, and structural displacement risks for professional artists. Employing an interdisciplinary methodology—integrating legal text analysis, technical case studies of representative systems, and a multi-dimensional ethical assessment framework—the research elucidates the technical origins and socio-technical transmission mechanisms underlying each issue. Its key contribution is a novel “tiered governance” framework: (1) legislative mandates for data provenance tracking and carbon footprint disclosure; (2) industry-level adoption of transparent training protocols and equitable creator compensation schemes; and (3) technical design principles emphasizing model interpretability and human-in-the-loop intervention interfaces. The resulting governance paradigm bridges theoretical rigor with practical implementability, advancing the responsible co-evolution of AI innovation and humanistic values.

Technology Category

• Philosophy and Ethics of AI: Artificial General Intelligence
• Machine Learning: Ethics, Bias, and Fairness
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Responsible Web: Fairness, accountability, transparency and ethics of web technologies
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications

Abstract

As Artificial Intelligence (AI) continues to grow daily, more exciting (and somewhat controversial) technology emerges every other day. As we see the advancements in AI, we see more and more people becoming skeptical of it. This paper explores the complications and confusion around the ethics of generative AI art. We delve deep into the ethical side of AI, specifically generative art. We step back from the excitement and observe the impossible conundrums that this impressive technology produces. Covering environmental consequences, celebrity representation, intellectual property, deep fakes, and artist displacement. Our research found that generative AI art is responsible for increased carbon emissions, spreading misinformation, copyright infringement, unlawful depiction, and job displacement. In light of this, we propose multiple possible solutions for these problems. We address each situation's history, cause, and consequences and offer different viewpoints. At the root of it all, though, the central theme is that generative AI Art needs to be correctly legislated and regulated.

Problem

• Ethical dilemmas in AI-generated art creation
• Environmental and copyright impacts of generative AI
• Need for legislation regulating AI art practices

Innovation

• Analyzes ethical issues in generative AI art
• Proposes legislation for AI art regulation
• Examines environmental and copyright impacts