Review of Digital Economy Research in China: A Framework Analysis Based on Bibliometrics

Author: Yanmin Xu, Yitao Tao, Chunjiong Zhang, Mingxing Xie, Wengang Li, Jianjiang Tai; Publisher: Hindawi; Publication Year: 2022. The following article talks about how ethical considerations also need to be taken when using data for use of digital economies. This article discusses how digital economies are being introduced in parts of China, and what ethical issues can arise…

A 20-Year Community Roadmap for Artificial Intelligence Research in the U.S.

Author: Y. Gil and B. Selman; Publisher: Computing Community Consortium (CCC) and Association for the Advancement of Artificial Intelligence (AAAI); Publication Year: 2019. The following paper touches on such a broad spectrum of societal facets artificial intelligence (AI) affects and should be considered more closely. The different areas stimulated ideas such as highlighting the AI Open Knowledge network need. Currently the major tech companies have access to a majority of this resource so it is imperative to open…

Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective

Author: Xiaofeng Tang, Eduardo Mendieta, Thomas A. Litzinger; Publisher: Science and Engineering Ethics; Publication Year: 2022. The following article discusses how a lack of training in ethical theories and related pedagogy has kept many engineering faculty members from teaching data ethics, an important aspect of engineering research that has become more salient in recent years. This paper describes the development of a module, which includes concepts, cases, policies, and…

Principled Artificial Intelligence

Author: Jessica Fjeld, Adam Nagy; Publisher: Berkman Klein Center; Publication Year: 2020. The following paper describes and explains 9 principles of ethical data practices: Informed consent of data subjects, security of data, anonymization, transparency, diversity, bias, prominence and communication. The principles listed in this framework cover 4 essential values of ethical data practices: Fairness, benefit, openness and reliability…

Privacy Wars Fueled by the GDPR

Author: Will Horvath; Publisher: Data Science Ethics; Publication Year: 2019. The following article discusses how with countries fighting against the growing threat of privacy invasion (and many losing), Europe implemented in 2018 the General Data Protection Regulation (GDPR) that provides the ‘most sweeping protection of user privacy rights yet passed in the world.’ France’s CNIL used the GDPR to fine Google for $57 million…

Big Data Ethics and Politics: Toward New Understandings

Author: Wenhong Chen, Anabel Quan-Haase; Publisher: Social Science Computer Review; Publication Year: 2018. The following article addresses new issues created by big data, such as biases, subjectivities, and forms of oppression. They define 4 major aspects of big data ethics and politics: 1). Potential biases in big data collection and interpretation, 2). Community and citizen concerns of big data (mis)use in public life and for journalistic purposes, 3). Media…

Global Megatrends 2022

Author: Wanda Curlee; Publisher: Project Management Institute; Publication Year: 2022. The following article covers the application of data ethics in projects and it provides a framework that this website approves of. The author provides an overview of guidelines that they followed when creating their framework. One that was eye-catching was to go beyond the letter of the law. Laws have not caught up to data science and so it’s up to…

Ethics of Artificial Intelligence and Robotics

Author: N/A; Publisher: Stanford Encyclopedia of Philosophy; Publication Year: 2020. In the following article, Dr. Müller at Stanford discusses why artificial intelligence (AI) system scandals are covered differently in the media. For a problem to qualify as a problem for AI ethics would require that we do not readily know what the right thing to do is. In this sense, job loss, theft, or killing with AI is not a problem in ethics, but whether these…

Artificial Intelligence: Examples of Ethical Dilemmas

Author: N/A; Publisher: UNESCO; Publication Year: 2023. The following article discusses how bias is very much prevalent in today’s artificial intelligence (AI)-systems shown through many examples. When searching for school in a search system the results often show women in promiscuous outfits, skinny, and white. However, when searching for school boy, the pictures are perfectly ordinary. There was…

Teaching Data Ethics: We’re Going to Ethics the Heck Out of This

Author: Tristan Henderson; Publisher: Association for Computing (ACM) Machinery Digital Library; Publication Year: 2019. The following paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for…