Resources that discuss equitable distribution and use of resources.
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…
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…
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 create its Data Ethics Practice (DEP). The DEP is a cross-functional global team to…
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…
Author: University of Edinburgh; Publisher: edX; Publication Year: N/A. The following online class was created by the University of Edinburgh which is available for free on edX. The course is 7-weeks long and requires only 3-4 hours of work per week, but the course covers a large variety of material relating to data ethics, artificial intelligence (AI), and responsible innovation. The course focuses on educating the student on…
Author: N/A; Publisher: Berkeley School of Information; Publication Year: 2019. The following article talks about how one student is using data science to better the world. Master of Information and Data Science student and 2019 recipient of the Paul Fasana LGBTQ Studies Fellowship, Christina Papadimitriou is using the fellowship for her research for LGBTQ equality and rights. She has done various works to order to improve…
Author: Tiffany Oliver; Publisher: TEDx Talks; Publication Year: 2022. In the following talk, Dr. Oliver talks about her work to address the underrepresentation of women and BIPOC in data science. In 2021, Dr. Oliver created a summer research program at Spelman College, a historically Black women’s college, to introduce Spelman students to data science. There are 2 notable aspects of Dr. Oliver’s…
Author: Thom Patterson; Publisher: Flying; Publication Year: 2022. The following article looked at the future of flying aircraft. Currently, companies are working on creating self-flying aircraft which could be beneficial for the future. Companies use data in order to train self-flying aircraft to have them take a certain path to reach the given destination. These aircraft get better each time after doing repetitive tasks…
Author: N/A; Publisher: The Greenlining Institute; Publication Year: 2021. The following article discusses algorithmic biases in credit and finance, healthcare, employment, government programs, education and housing. Focusing in on algorithmic bias in credit and finance, banks and the fintech industry have eagerly replaced loan officers with algorithms that are more complex and use more sources of data than ever before to make…
Author: N/A; Publisher: The Global Indigenous Data Alliance; Publication Year: 2022. The following guidelines set out the minimum requirements for Indigenous-designed data approaches and standards, which can be generalized to all approaches and standards to data ethics surrounding marginalized communities. They show the current inadequacy of consent and data privacy protections, and highlight community-controlled…