Tag: COVID-19
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The Hitchhiker’s Guide to Responsible Machine Learning
Author: Przemysław Biecek, Anna Kozak, Aleksander Zawada; Publisher: GitHub; Publication Year: 2022. The following comic focusses on the need to learn the importance and application of different Explainable Artificial Intelligence (XAI) concepts and methods in…
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Protecting Lives & Liberty: How Contact Tracing Apps Can Foil Both COVID-19 and Big Brother
Author: Nicky Case; Publisher: ncase.me; Publication Year: N/A. The following resource considers how should we balance leveraging sensitive data to combat important social issues (e.g., COVID-19 contact tracing) while ensuring data privacy? One answer is…
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Ethics and AI: Tackling Biases Hidden in Big Data
Author: Nello Cristianini; Publisher: European Research Council; Publication Year: 2021. The following article features Nello Cristianini, a professor of artificial intelligence from the University of Bristol, studied gender bias in media at a macro scale…
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Data Ethics in combating COVID-19 after Lockdown
Author: Michelle Seng Ah Lee; Publisher: Trust & Technology Initiative; Publication Year: N/A. The following article talks about using data to overcome challenges due to the COVID-19 pandemic, and lessons learned in using data ethically.…
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Bias in Machine Learning Examples: Policing, Banking, COVID-19
Author: Lisa Morgan; Publisher: Tech Target; Publication Year: 2020. The following article discusses how human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes…
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The Rise of AAAI: How a Data Ethics Framework Drives Value
Author: Leanne Allen; Publisher: KPMG International; Publication Year: 2020. The following article discusses how COVID-19 accelerated the implementation of Advanced Analytics and Artificial Intelligence (AAAI), and this trend changed how customers interact with financial companies.…
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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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No Trust, No Data – How Digital Development Depends on Ethics
COVID-19, Danish Data Ethics Council, Data Privacy, Data Security, Data Storage, Denmark, Political Accountability, TransparencyAuthor: Frederik Weiergang Larsen, Ninni Gustavsen. Publisher: UNESCO Inclusive Policy Lab Publication Year: 2021 Summary: The following article is primarily regarding data ethics in Denmark, but its principles are generalizable for all data professionals. When…
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Closing the Public Health Ethics Gap
Author: Efthimios Parasidis, Amy L. Fairchild; Publisher: The New England Journal of Medicine; Publication Year: 2022. The following article argues that a lack of professional ethicists on public health teams during the pandemic was a…