Explore our collection of data ethics resources
Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.
Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.
Author: Jochem Dogger; Publisher: Capgemini; Publication Year: 2020. The following article makes a point that often unethical use of data results from a lack of digital literacy or little awareness of the implications of digital…
Author: JoAnna Klein; Publisher: The New York Times; Publication Year: 2019. The following article discusses how the stereotypes and bias in medical research (and more generally) resulted in mainly male animals being used in biomedical…
Author: Joanna Kaminska; Publisher: Statice; Publication Year: 2022. The following article discusses how it is important to know that while working with data there is a possibility that the data is biased; this is a…
Author: Jim Box, Elena Snavely, and Hiwot Tesfaye; Publisher: SAS Global Forum; Publication Year: 2022. The following paper discusses how it is a common consensus that artificial intelligence (AI) and machine learning (ML) are going…
Author: Jillian Kwong, Stefanie Demetriades, Ali Rachel Pearl, Noy Thrupkaew, Jef Pearlman, Colin Maclay; Publisher: MASTS “Mobilizing Controversy” Working Group; Publication Year: 2021. The following resource provides insight into what facial recognition is and how…
Author: Jessica Utts; Publisher: International Statistical Review; Publication Year: 2021. The following article discusses what statisticians can do to promote ethical practices and what educators can do to instill ethical conduct in data science. The…
Author: Jessica Davis; Publisher: Information Week; Publication Year: 2022. The following article discusses how artificial intelligence (AI) bias is a relatively new phenomenon that has serious implications. Among organizations that experienced negative AI bias, 62%…