Category: Education & Training

Keynote Speaker: Joy Buolamwini Presented by SpeakInc

Algorithmic Bias, Coded Gaze, Discriminatory Practices, Exclusionary Experiences, Facial Recognition Systems, Gender Gap, IBM, Racial Gaps

Author: Joy Buolamwini Publisher: SpeakInc Publication Year: 2018 Summary: In the following video, Joy Buolamwini expands on her mission of the ‘Coded Gaze’, her term for algorithmic bias which can lead to discriminatory practices or…
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How I’m Fighting Bias in Algorithms

Algorithmic Bias, Coded Gaze, Discriminatory Practices, Facial Recognition Systems, Fairness, Machine Learning, Representation in Training Datasets

Author: Joy Buolamwini; Publisher: TED; Publication Year: N/A. The following speech discusses how algorithmic bias, or the “coded gaze,” can lead to discriminatory practices. Machine learning is being used for facial recognition but a lack…
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Can You Hear the Will of the People in the Vote? Assessing Fairness in Redistricting via Monte Carlo Sampling

Algorithms, Congressional Maps, Election, Equity, Fairness, Gerrymandering, Voting Preferences

Author: Jonathan Mattingly; Publisher: Society for Industrial and Applied Mathematics; Publication Year: 2021. The following video is the author presenting his research on how local, state, and national elections depend on the underlying maps that…
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LAPD Ended Predictive Policing Programs Amid Public Outcry. A New Effort Shares Many of Their Flaws

Algorithms, Artificial Intelligence, Crime Information, Predictive Policing

Author: Johana Bhuiyan; Publisher: The Guardian; Publication Year: 2021. The following article describes how since the rise of artificial intelligence (AI), cities have been incorporating the use of AI to stop potential crimes. One strategy…
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Mining Social Media Data: How are Research Sponsors and Researchers Addressing the Ethical Challenges?

Cambridge Analytica Scandal, Data Collection, Data Mining, Personal Data, Social Media, Transparency, Trump

Author: Joanna Taylor, Claudia Pagliari; Publisher: SAGE Journals; Publication Year: 2017. The following article explores the ways data is being mined on social media platforms. Data representing people’s behavior, attitudes, feelings, and relationships are being…
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Fighting the Gender Stereotypes That Warp Biomedical Research

Biomedical Research, Gender, Gender Stereotypes, Medical Research, Stereotypes

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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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 Data

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…
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Five Ethical Challenges Facing Data-Driven Policing

Accountability, Data-Driven Policing, Policing, Racial Bias, Transparency

Author: Jeremy Davis, Duncan Purves, Juan Gilbert, Schuyler Sturm; Publisher: AI and Ethics; Publication Year: 2022. The following paper lists out 5 challenges with “data-driven policing” which has become more common all across the U.S.…
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Data Science Education Lacks a Much-Needed Focus on Ethics

Curriculum, Training

Author: Jeffrey C. Oliver, Torbet McNeil; Publisher: The Conversation; Publication Year: 2021. The following article discusses how undergrad training in data science was found to be subpar in training students in the proper use of…
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