This study investigates ethical challenges in AI development and proposes targeted educational strategies. A 2024 expert survey of 30 South Korean AI practitioners revealed that 87% lacked prior ethics training, though 43.3% had faced ethical dilemmas. Developers mainly relied on workplace experience for ethical guidance, with executive leadership viewed as primarily responsible for ethical AI design. Key dilemmas included technological limits, external constraints, industry pressures, stakeholder conflicts, and unintended consequences. Respondents prioritized privacy protection, data governance, and accountability, citing enhanced consumer trust and corporate reputation as major benefits of ethical AI. The study recommends case-based learning, decision-support tools, baseline ethics training, and greater access to educational resources, alongside emphasizing the economic value of ethical AI while addressing innovation and resource concerns.

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Affordances and Barriers in AI Ethics: Rethinking AI Ethics Education for Developers

  • Rosa Hyun Kyong

摘要

This study investigates ethical challenges in AI development and proposes targeted educational strategies. A 2024 expert survey of 30 South Korean AI practitioners revealed that 87% lacked prior ethics training, though 43.3% had faced ethical dilemmas. Developers mainly relied on workplace experience for ethical guidance, with executive leadership viewed as primarily responsible for ethical AI design. Key dilemmas included technological limits, external constraints, industry pressures, stakeholder conflicts, and unintended consequences. Respondents prioritized privacy protection, data governance, and accountability, citing enhanced consumer trust and corporate reputation as major benefits of ethical AI. The study recommends case-based learning, decision-support tools, baseline ethics training, and greater access to educational resources, alongside emphasizing the economic value of ethical AI while addressing innovation and resource concerns.