Category: 2022
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Data Ethics Club: Creating a Collaborative Space to Discuss Data Ethics
Author: Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan D.S. Bennet, Vanessa Hanschke, Valerio Maggio, Ola Michalec, Charles Radclyffe, Roman Shkunov, Emma Tonkin, Zoë Turner, Kamilla Wells; Publisher: National Library of Medicine; Publication Year:…
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Artificial Intelligence in Healthcare: Providing Ease or Ethical Dilemmas?
Accuracy, Algorithms, Artificial Intelligence, Data Usage, Machine Learning, Medical Research, Patient CareAuthor: 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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2022 Consumer Privacy Legislation
Author: Pam Greenberg; Publisher: National Conference of State Legislatures; Publication Year: 2022. The following article discusses how we often hear that legislators need to regulate artificial intelligence (AI), and this is a summary of 2022…
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LinkedIn Ran Social Experiments on 20 Million Users Over Five Years
A/B Testing, Harvard Business Review, LinkedIn, Massachusetts Institute of Technology, Personal Data, Privacy PolicyAuthor: Natasha Singer; Publisher: The New York Times; Publication Year: 2022. The following article discusses a new study that analyzed the data of nearly 20 million LinkedIn users over a 5-year period revealed that acquaintances,…
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Microsoft’s Framework for Building AI Systems Responsibly
Author: Natasha Crampton; Publisher: Microsoft; Publication Year: 2022. The following article features Natasha who is the Chief Responsible Artificail Intelligence (AI) officer at Microsoft. She talks about a framework to guide how we build AI…
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Racial Equity and Data Science
Author: MIT IDSS; Publisher: MIT Political Science; Publication Year: 2022. The following article features the Research Initiative on Combating Systematic Racism (ICSR) who’s goal is to seed and coordinate research used to identify racially discriminatory…
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Challenges of AI Ethics in Insurance
Artificial Intelligence, Data Collection, Data Usage, Discrimination, Gender Discrimination, Income Discrimination, Racial DiscriminationAuthor: 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…