Category: Industry-Specific

Big Data Phenotyping in Rare Diseases: Some Ethical Issues

Algorithms, Computational Phenotyping, Machine Learning, Machine Learning Algorithms, Personal Data

Author: Nina Hallowell, Michael Parker, Christoffer Nellåker; Publisher: Genetics in Medicine; Publication Year: 2018. The following article discusses how computational phenotyping (using machine learning algorithms [MLAs] to analyze photographic images) has improved healthcare experience for…
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Artificial Intelligence in Healthcare: Providing Ease or Ethical Dilemmas?

Accuracy, Algorithms, Artificial Intelligence, Data Usage, Machine Learning, Medical Research, Patient Care

Author: Nils Aoun, Chloé Currie, Itai Epstein, and Chaaron Nahar; Publisher: Maiei; Publication Year: 2022. The following article covers how research in medicine by people is at a plateau, many of the recent advancements are…
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Protecting Lives & Liberty: How Contact Tracing Apps Can Foil Both COVID-19 and Big Brother

COVID-19, COVID-19 Contact Tracing, Data Privacy, DP-3T Protocol, Location Data, Sensitive Data

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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What Should Data Ethics Mean to Financial Service Providers?

Artificial Intelligence

Author: N/A; Publisher: Symphony AI; Publication Year: N/A. The following source discusses how data ethics in finance is a topic that has not been talked about enough as the rise of artificial intelligence (AI) and…
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Social Media, Big Data, and Mental Health: Current Advances and Ethical Implications

Big Data, Mental Health, Natural Language Processing Technology, Public Health, Social Media

Author: Mike Conway, Daniel O’Connor; Publisher: Current Opinion in Psychology; Publication Year: 2016. The following article discusses how social media big data being combined with natural language processing (NLP) technology can address public health research…
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Challenges of AI Ethics in Insurance

Artificial Intelligence, Data Collection, Data Usage, Discrimination, Gender Discrimination, Income Discrimination, Racial Discrimination

Author: Michelle Seng Ah Lee; Publisher: Medium; Publication Year: 2022. The following article discusses the ethical concerns associated with the implementation of artificial intelligence (AI) programs in the insurance industry. Beyond privacy issues arising from…
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The Evolution of Data Ethics in Clinical Research and Drug Development

Advanced Analytic Techniques, Biometric Data, Clinical Research, Data Sourcing, Drug Development, Real World Data

Author: Melissa Heidelberg; Publisher: Ethics, Medicine and Public Health; Publication Year: 2020. The following article discusses how the usage of advanced analytic techniques has revolutionized countless industries, and the clinical research and drug development industry…
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Discrimination in a Sea of Data: Exploring the Ethical Implications of Student Success Analytics

Algorithms, Artificial Intelligence, Learning Management Systems, Machine Learning, Student Success Analytics

Author: Maureen Guarcello, Linda Feng, Shahriar Panahi, Szymon Machajewski and Marcia Ham; Publisher: Educause Review; Publication Year: 2021. The following article pertains to the ethics of using artificial intelligence (AI) and/or machine learning (ML) to…
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Accounting for Racial Bias in Recidivism Forecasting, Year 3 Male Parolees Report

Accuracy, National Institute of Justice, Recidivism Forecasting Challenge, Recidivism Rates, Risk Predictors

Author: Mary Beth Carroll, Rodney Carson, Mike Clark, Adam Cottrell, Jim Georges, Tyler Nelson, Hiwot Tesfaye, Halil Toros, Sree Vuthaluru; Publisher: SAS Institute Inc.; Publication Year: 2022. The following modeling report attempts to look at…
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