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Panel Discussion: Data Ethics in the Stories We Tell
lnbressa
Author: N/A; Publisher: ParsonsTKO; Publication Year: 2021. The following video discusses how data storytelling is essential for any good data scientist. This makes it even more important for data scientists to be aware of privacy concerns, and avoid bias, and misinterpretation. This video includes panelists that all have expertise in the data ethics and regarding…
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Data Science Ethics in 6 Minutes
Author: N/A; Publisher: YimmyTalks; Publication Year: 2020. The following video starts off by discussing the importance of data and data scientists in today’s society outlining their power and influence. It then shifts to talking about the responsibility that comes with this power. Since data scientists and their models have…
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Review of Digital Economy Research in China: A Framework Analysis Based on Bibliometrics
2022, Communities of Practice, Notable People, Privacy, Research Article, Social Justice, Uncategorizedlnbressa
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…
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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…
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Developing an Online Data Ethics Module Informed by an Ecology of Data Perspective
lnbressa
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.…
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Best Practices: Optimizing Analytics for Diversity, Equity, Inclusion, and Belonging
lnbressa
Author: N/A; Publisher: Workday; Publication Year: 2022. The following article discusses a survey from PwC shows that while diversity is a stated value or priority area for 75% of organizations, 32% of respondents still feel diversity is a barrier to employee progression. To optimize analytics for diversity, equity, inclusion, and belonging (DEIB), the author recommended…
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Determining the Best and Most Ethical Use of Customer Data
lnbressa
Author: N/A; Publisher: The Wise Marketer; Publication Year: 2022. The following article talks about how businesses could benefit from customer data and pointed out the 4 main ethical issues (ownership, transparency, consent, and equitable value exchange) that need to be aware of when processing customer data. The goal is to ensure that customers understand, agree,…
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How Cops Are Using Algorithms to Predict Crimes
Author: N/A; Publisher: Wired; Publication Year: 2018. The following video discusses how cops in Los Angeles (& many places) are using predictive algorithms in policing. Proponents say it is effective at reducing crime, but many people argue that it helps police justify racial profiling. The data is biased because policing statistics have always disproportionately targeted…
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We Can’t Dodge the Data Ethics Gap Anymore
lnbressa
Author: Winston Thomas; Publisher: CDO Trends; Publication Year: 2022. The following article starts by questioning who the authority on data ethics will be, especially as cultural and legal definitions vary by region and nation. Jay Upchurch, the CIO of SAS, says concerns about how to address and solve data ethics problems led the company to…
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Theories of AI Liability: It’s Still About the Human Element
lnbressa
Author: William A. Tanenbaum, Kiyong Song, Linda A. Malek; Publisher: Reuters; Publication Year: 2022. The following article outlines the 2 basic theories/ideas regarding who is responsible or liable for the actions taken and decisions made by an artificial intelligence (AI). The first argument is that the organization that utilizes the AI is solely responsible for…
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