观点
扎根理论
工程伦理学
背景(考古学)
分类学(生物学)
实证研究
感知
信息伦理学
知识管理
定性研究
心理学
社会学
计算机科学
认识论
工程类
社会科学
哲学
艺术
古生物学
植物
神经科学
视觉艺术
生物
作者
Aastha Pant,Rashina Hoda,Chakkrit Tantithamthavorn,Burak Turhan
标识
DOI:10.1007/s10664-024-10465-5
摘要
Abstract The term ethics is widely used, explored, and debated in the context of developing Artificial Intelligence (AI) based software systems. In recent years, numerous incidents have raised the profile of ethical issues in AI development and led to public concerns about the proliferation of AI technology in our everyday lives. But what do we know about the views and experiences of those who develop these systems – the AI practitioners? We conducted a grounded theory literature review (GTLR) of 38 primary empirical studies that included AI practitioners’ views on ethics in AI and analysed them to derive five categories: practitioner awareness , perception , need , challenge , and approach . These are underpinned by multiple codes and concepts that we explain with evidence from the included studies. We present a taxonomy of ethics in AI from practitioners’ viewpoints to assist AI practitioners in identifying and understanding the different aspects of AI ethics. The taxonomy provides a landscape view of the key aspects that concern AI practitioners when it comes to ethics in AI. We also share an agenda for future research studies and recommendations for practitioners, managers, and organisations to help in their efforts to better consider and implement ethics in AI.
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