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The Ethical Questions That Haunt Facial-Recognition Research
2020, Bias, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Frameworks, Legal & Policy, News Article, Privacy, Social Justicelnbressa
Author: Richard Van Noorden; Publisher: Nature; Publication Year: 2020. In the following article, science journalist Richard Van Noorden discusses how facial recognition technology is being used for malicious purposes. The Chinese government has abused facial recognition technology to profile Uyghurs via mass surveillance (camera networks) in order to send them to “re-education camps.” The algorithm…
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The Crime Machine, Part I and Part II
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Author: Reply All; Publisher: Gimlet; Publication Year: 2018. The following podcast episodes focus on how police departments’ usage of CompStat went awry. CompStat was introduced by Jack Maple, a NYC transit cop, in the early 90s as a way to track crimes, and to see who was committing them. Very quickly, the system was abused…
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A Practical Guide to Building Ethical AI
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Author: Reid Blackman; Publisher: The Harvard Business Review; Publication Year: 2020. The following article describes how failing to account for ethical issues in artificial intelligence (AI) can lead to reputational, regulatory, and legal risks for companies, as well as wasted time, money, and resources if the company is not able to move forward with the…
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How does structural racism impact on data and AI?
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Author: Reema Patel, Octavia Reeve, Andrew Strait; Publisher: The Ada Lovelace Institute; Publication Year: 2021. The following article talks about the “data divide” that exists between those who have access to artificial intelligence (AI) and algorithmic data technologies and people who do not. The data divide can affect who benefits from AI and who will…
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Can Algorithms Reduce Inequality?
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Author: Rediet Abebe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms can be designed to reduce inequality by bringing in diverse groups of stakeholders. Collaboration between policymakers and algorithm designers can improve outcomes of applied algorithms. Social scientists should be included in implementation as well to promote equality and justice. This TED…
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3 Questions: Designing Software for Research Ethics
2022, Code of Ethics, Diversity, Equity & Inclusion, Education & Training, Legal & Policy, News Article, Notable Peoplelnbressa
Author: Rachel Gordon; Publisher: MIT News; Publication Year: 2022. The following article features the author interviewing Jonathan Zong, a computer scientist Ph.D. from the Massachusetts Institute of Technology (MIT), also the creator of the app Bartleby. Bartleby is a system for debriefing research participants after being involved in social media research. Using Bartleby, researchers can…
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The Importance of Data Ethics in the Digital Age
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Author: Prakash Mishra; Publisher: NTT Data; Publication Year: 2020. The following article focuses less on what data scientists are doing on a daily basis and instead talks about regulation and how data professionals can push for better rules and guidelines. “The question is: Do we have enough best practices for data governance, data sharing, insight,…
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Seven Legal Questions for Data Scientists
2021, Bias, Blog Article, Code of Ethics, Diversity, Equity & Inclusion, Education & Training, Legal & Policy, Notable Peoplelnbressa
Author: Patrick Hall, Ayoub Ouederni; Publisher: O’Reilly; Publication Year: 2021. The following article poses 7 legal questions that data scientists should address before they deploy artificial intelligence (AI). Answering these questions should help you better align your organization’s technology with existing and future laws, leading to less discriminatory and invasive customer interactions, fewer regulatory or…
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My Data and Design Ethics Manifesto
2018, Bias, Blog Article, Code of Ethics, Diversity, Equity & Inclusion, Frameworks, Legal & Policy, Privacylnbressa
Author: Ovetta Sampson; Publisher: Medium; Publication Year: 2018. The following article discusses how bad algorithms compounded with bad actors have caused much technological harm over the past few years. The Facebook Russian Election scandal went through due to Facebook’s “quantitative-quest” focus within its PageRank algorithm, leaving data engineers with no idea about all the prejudices…
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How Census Data Put Trans Children at Risk
2022, Bias, Communities of Practice, Education & Training, Legal & Policy, News Article, Notable People, Privacylnbressa
Author: Os Keyes, Abraham D. Flaxman; Publisher: Scientific American; Publication Year: 2022. The following article discusses an overlooked drawback of de-anonymizing Census data, in that transgender individuals living in hostile environments may be criminalized. This does not go solely for those undergoing a shift in gender identity, but their families as well, because places like…
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