论文标题
通过从业者的观点，人工智能中的伦理：扎根理论文献回顾
Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review
论文作者
论文摘要
在开发人工智能（AI）的软件系统的背景下，广泛使用，探索和辩论一词。近年来，许多事件提高了道德问题在AI发展中的概况，并引起了公众对我们日常生活中AI技术扩散的关注。但是，我们对开发这些系统的人的观点和经验了解什么 - AI从业人员？我们对38项主要经验研究进行了基础理论文献综述（GTLR），其中包括AI实践者对AI中的道德观点的观点，并分析了它们以得出5种类别：从业者的意识，感知，需求，需求，挑战和方法。这些是由多个代码和概念的基础，我们用所包括研究的证据来解释。我们从从业人员的角度来提出了AI中道德的分类学，以帮助AI实践者识别和理解AI伦理的各个方面。分类学为AI涉及AI的伦理学方面的关键方面提供了景观视图。我们还为从业人员，经理和组织提供了未来研究和建议的议程，以帮助他们更好地考虑和实施AI中的道德规范。
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.
