Tracing app technology: an ethical review in the COVID-19 era and directions for post-COVID-19 [0.03%]
新冠肺炎疫情期间定位应用程序技术的伦理审查及后疫情时代方向探讨
Saleh Afroogh,Amir Esmalian,Ali Mostafavi et al.
Saleh Afroogh et al.
We conducted a systematic literature review on the ethical considerations of the use of contact tracing app technology, which was extensively implemented during the COVID-19 pandemic. The rapid and extensive use of this technology during th...
Putting explainable AI in context: institutional explanations for medical AI [0.03%]
医学人工智能的机构解释：可解释的人工智能置于语境中
Mark Theunissen,Jacob Browning
Mark Theunissen
There is a current debate about if, and in what sense, machine learning systems used in the medical context need to be explainable. Those arguing in favor contend these systems require post hoc explanations for each individual decision to i...
Wisdom in the digital age: a conceptual and practical framework for understanding and cultivating cyber-wisdom [0.03%]
数字经济时代的智慧：网络智慧的概念与实践框架研究
Gianfranco Polizzi,Tom Harrison
Gianfranco Polizzi
The internet presents not just opportunities but also risks that range, to name a few, from online abuse and misinformation to the polarisation of public debate. Given the increasingly digital nature of our societies, these risks make it es...
Explanatory pragmatism: a context-sensitive framework for explainable medical AI [0.03%]
解释性实用主义：一种上下文敏感的可解释医学人工智能框架
Rune Nyrup,Diana Robinson
Rune Nyrup
Explainable artificial intelligence (XAI) is an emerging, multidisciplinary field of research that seeks to develop methods and tools for making AI systems more explainable or interpretable. XAI researchers increasingly recognise explainabi...
Laura Lamers,Jeroen Meijerink,Giedo Jansen et al.
Laura Lamers et al.
This paper proposes a conceptual framework to study and evaluate the impact of 'Algorithmic Management' (AM) on worker dignity. While the literature on AM addresses many concerns that relate to the dignity of workers, a shared understanding...
Framing ethical issues associated with the UK COVID-19 contact tracing app: exceptionalising and narrowing the public ethics debate [0.03%]
围绕英国新冠肺炎接触追踪应用的伦理问题定性：扩大和限制公共伦理讨论
G Samuel,F Lucivero
G Samuel
This paper explores ethical debates associated with the UK COVID-19 contact tracing app that occurred in the public news media and broader public policy, and in doing so, takes ethics debate as an object for sociological study. The research...
Transparency as design publicity: explaining and justifying inscrutable algorithms [0.03%]
透明性作为设计宣传：解释和辩护难以理解的算法
Michele Loi,Andrea Ferrario,Eleonora Viganò
Michele Loi
In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We criticize recent attempts to identify the explanation of black box algorithms with making th...
Ethical dilemmas are really important to potential adopters of autonomous vehicles [0.03%]
伦理困境真的是自主车辆潜在采用者的重要考量因素
Tripat Gill
Tripat Gill
The ethical dilemma (ED) of whether autonomous vehicles (AVs) should protect the passengers or pedestrians when harm is unavoidable has been widely researched and debated. Several behavioral scientists have sought public opinion on this iss...
Digitalization of contact tracing: balancing data privacy with public health benefit [0.03%]
数字化接触者追踪：如何在数据隐私与公众健康效益间求得平衡
Jeremy Wacksman
Jeremy Wacksman
The COVID-19 pandemic has brought the long-standing public health practice of contact tracing into the public spotlight. While contact tracing and case investigation have been carefully designed to protect privacy, the huge volume of tracin...
How to feel about emotionalized artificial intelligence? When robot pets, holograms, and chatbots become affective partners [0.03%]
情感化的虚拟人工智灵如何带来人类的情感回应——当机器人宠物、全息图和聊天机器人成为情感伴侣时
Eva Weber-Guskar
Eva Weber-Guskar
Interactions between humans and machines that include artificial intelligence are increasingly common in nearly all areas of life. Meanwhile, AI-products are increasingly endowed with emotional characteristics. That is, they are designed an...