Generative AI Ethical Challenges: By Creative and Professional Communities

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Interviews reveal concerns about ethics and authorship among 120 generative AI users across fields, highlighting the need for better oversight.

Most participants favor co-authorship or personal credit when using generative AI, emphasizing shared ownership.
Concerns about ethical issues are moderate, peaking at 3.12 for liability, followed by labeling at 3.00 and bias at 2.98.
Creative professionals expressed stronger support for governmental oversight compared to technologists, reflecting divergent perspectives on accountability.
Despite frequent use, no clear correlation exists between the amount of generative AI utilized and users' sensitivity to ethical considerations.

Bhowmick et al. (2025) studied this question.

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Interviews reveal concerns about ethics and authorship among 120 generative AI users across fields, highlighting the need for better oversight.