Ibo van de Poel,Olya Kudina
Ibo van de Poel
We propose a pragmatist account of value change that helps to understand how and why values sometimes change due to technological developments. Inspired by John Dewey's writings on value, we propose to understand values as evaluative device...
Alexander Kriebitz,Raphael Max,Christoph Lütge
Alexander Kriebitz
The German Act on Autonomous Driving constitutes the first national framework on level four autonomous vehicles and has received attention from policy makers, AI ethics scholars and legal experts in autonomous driving. Owing to Germany's ro...
Tragic Choices and the Virtue of Techno-Responsibility Gaps [0.03%]
悲惨的选择与 techno-responsibility 缺口美德
John Danaher
John Danaher
There is a concern that the widespread deployment of autonomous machines will open up a number of 'responsibility gaps' throughout society. Various articulations of such techno-responsibility gaps have been proposed over the years, along wi...
Uwe Peters
Uwe Peters
Some artificial intelligence (AI) systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that dis...
Through the Newsfeed Glass: Rethinking Filter Bubbles and Echo Chambers [0.03%]
去伪存真：反思“信息过滤气泡”与“回音室效应”
Giacomo Figà Talamanca,Selene Arfini
Giacomo Figà Talamanca
In this paper, we will re-elaborate the notions of filter bubble and of echo chamber by considering human cognitive systems' limitations in everyday interactions and how they experience digital technologies. Researchers who applied the conc...
Can Robots Do Epidemiology? Machine Learning, Causal Inference, and Predicting the Outcomes of Public Health Interventions [0.03%]
机器人能做流行病学吗？机器学习、因果推断以及预测公共卫生干预的结果
Alex Broadbent,Thomas Grote
Alex Broadbent
This paper argues that machine learning (ML) and epidemiology are on collision course over causation. The discipline of epidemiology lays great emphasis on causation, while ML research does not. Some epidemiologists have proposed imposing w...
When Doctors and AI Interact: on Human Responsibility for Artificial Risks [0.03%]
当医生与AI互动时：论人为的AI风险责任问题
Mario Verdicchio,Andrea Perin
Mario Verdicchio
A discussion concerning whether to conceive Artificial Intelligence (AI) systems as responsible moral entities, also known as "artificial moral agents" (AMAs), has been going on for some time. In this regard, we argue that the notion of "mo...
The Fight for Digital Sovereignty: What It Is, and Why It Matters, Especially for the EU [0.03%]
主权之战：什么是数字主权及其重要性，特别是对于欧盟而言
Luciano Floridi
Luciano Floridi
How to protect privacy in a datafied society? A presentation of multiple legal and conceptual approaches [0.03%]
如何在数据化的社会中保护隐私？多个法律和概念方法的探讨
Oskar J Gstrein,Anne Beaulieu
Oskar J Gstrein
The United Nations confirmed that privacy remains a human right in the digital age, but our daily digital experiences and seemingly ever-increasing amounts of data suggest that privacy is a mundane, distributed and technologically mediated ...
What is Interpretability? [0.03%]
可解释性是什么？
Adrian Erasmus,Tyler D P Brunet,Eyal Fisher
Adrian Erasmus
We argue that artificial networks are explainable and offer a novel theory of interpretability. Two sets of conceptual questions are prominent in theoretical engagements with artificial neural networks, especially in the context of medical ...