Category: Notable People
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Big Tech and Data Ethics
Algorithmic Injustice, Artificial Intelligence, Autonomous Vehicles, Discrimination, Machine Learning, Personal Data, Robotics, Surveillance, User Interface DesignAuthor: Sam Gilbert; Publisher: Bennett Institute of Public Policy, Cambridge; Publication Year: 2020. The following article discusses the following topics with respect big tech companies: privacy and surveillance; bias; discrimination; and injustice in algorithmic decisioning;…
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Big Data Ethics and 10 Controversial Data Science Experiments
Author: Sabrina Dominguez; Publisher: Data Science Dojo; Publication Year: 2018. In the following article, Sabrina Dominguez summarizes 10 controversial data science projects involving big data. She looks at these examples through a business lens, with…
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The Ethics of Psychological Artificial Intelligence: Clinical Considerations
Artificial Intelligence, Clinical Psychology, Competence, Cultural Diversity, Cybersecurity, Reliability, TransparencyAuthor: Russell Fulmer, Tonya Davis, Cori Costello, Angela Joerin; Publisher: Wiley Online Library; Publication Year: 2021. In the following article, Russell Fulmer, Tonya Davis, Cori Costello, and Angela Joerin, researchers at Northwestern University, discuss how…
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Chris Olah on What the Hell is Going on Inside Neural Networks
Author: Robert Wiblin, Keiran Harris, Chris Olah; Publisher: 80,000 Hours; Publication Year: 2021. The following podcast episode features Chris Olah, a researcher at Google focused on data interpretability, specifically as it relates to neural networks…
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The Ethics of Smart Cities and Urban Science
Anticipatory Governance, Data-Driven Urbanism, Dataveillance, Epistemology, Geosurveillance, Smart Cities, Software-Enabled Technology, Urban Big Data, UrbanismAuthor: Rob Kitchin; Publisher: The Royal Society; Publication Year: 2016. The following article talks about how software-enabled technologies and urban big data have become essential to the functioning of cities. Consequently, urban operational governance and…
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10 Big Data Analytics Privacy Problems
Accountability, Anonymity, Data Masking, Discrimination, E-Discovery, Inaccurate Data, Misinterpretations, Privacy Breaches, Privacy Risks, Responsibility, SecurityAuthor: Rebecca Herold; Publisher: SecureWorld; Publication Year: 2014. The following article discusses how 10 of the most significant privacy risks are: 1). Privacy breaches and embarrassments; 2). Anonymization become impossible; 3). Insufficient data masking; 4).…