Author: lnbressa
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Doing The Right Thing With Data: Start Exploring Data Ethics Now
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…
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Fighting the Gender Stereotypes That Warp Biomedical Research
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…
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8 Types of Data Bias That Can Wreck Your Machine Learning Models
Biased Data, Discrimination, Machine Learning, Representation, Selection Bias, Systemic Bias, Underrepresented DatasetsAuthor: 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…
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Human Bias in Machine Learning: How Well Do You Really Know Your Model?
Artificial Intelligence, Biased Data, Biased Results, Local Interpretable Model-Agnostic Explanations, Machine Learning, Objective Algorithm, Representation in Training Datasets, Training DataAuthor: 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…
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Critical Questions for Facial Recognition Technologies in Higher Education: A Handbook for Stakeholders and Decision-Makers
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…
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Enhancing Data Science Ethics Through Statistical Education and Practice
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…
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The Cost of AI Bias: Lower Revenue, Lost Customers
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%…