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Bad, biased, and unethical uses of AI
2019, Bias, Blog Article, Communities of Practice, Education & Training, Frameworks, Legal & Policy, Privacylnbressa
Author: Anthony Macciola; Publisher: The Enterprisers Project; Publication Year: 2019. The following article provides 4 examples of bad, biased, or unethical uses of AI, as well as guidance for Chief Information Officers (CIOs) on how to avoid running into these issues. The first example describes a mortgage lending algorithm that perpetuated the effects of redlining…
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Good Data
2019, Bias, Book, Criminal Justice, Digital Media, Diversity, Equity & Inclusion, Education & Training, Healthcare, Industry-Specific, Legal & Policy, Notable People, Renewable Energy, Underrepresented Authorlnbressa
Author: Angela Daly, S. Kate Devitt, Monique Mann; Publisher: Insitute of Network Cultures (Google Books); Publication Year: 2019. The following book moves away from critiquing bad data and instead brainstorms a more optimistic vision of the field of data. They seek to promote conversations between many disciplines and stakeholders in order to raise awareness for…
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The AI Transparency Paradox
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Author: Andrew Burt; Publisher: Harvard Business Review; Publication Year: 2019. The following article describes how there are risks to achieving AI transparency. First, corporations often expose themselves to financial risk by publicizing what they are doing, since this could give rise to lawsuits. Second, there is a risk that bad actors can reverse engineer algorithms…
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Operationalizing Data Ethics in the Financial Services Sector
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Author: N/A; Publisher: Allen & Overy; Publication Year: 2019. The following article discusses how like almost all industries, financial services is also being revolutionized by data and artificial intelligence algorithms, but artificial intelligence has its shortcomings. Though it can’t be blindly trusted in financial service decisions, and this article lists 9 suggestions for operationalizing data…
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One-Year Reflection On The GDPR: Who Really Benefits From Data Protection?
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Author: Alexian Chiavegato; Publisher: Forbes; Publication Year: 2019. The following article takes a critical look through a one-year reflection on the General Data Protection Regulation (GDPR) that was passed by the European Union. The GDPR, passed in 2018, was monumental as it was one of the first data privacy legislations that was passed anywhere around…
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
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Author: Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman; Publisher: Frontiers; Publication Year: 2019. The following article discusses how the promises of social data are many, including understanding “what the world thinks” about a social issue, brand, celebrity, or other entity, as well as enabling better decision-making in a variety of fields…
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How to Interview a Tech Company: A Guide for Students
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Author: N/A; Publisher: AI Now Institute; Publication Year: 2019. The following article has readers consider the importance of how a company acts ethically or unethically, or even if there are considerations in place. As we have learned, data science and analytics can have real impacts on people and in perpetuating disparities or forming new ones.…
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Henrietta Lacks, the Tuskegee Experiment, and Ethical Data Collection
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Author: Adriene Hill; Publisher: Crash Course; Publication Year: 2019. The following video provides important background on the context and consequences of data-driven research relative to the foundational elements of statistics. It also provides links to historical instances of data abuse to the current problems with data ethics and privacy. It challenges the reader to ponder…
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Building Data and AI Ethics Committees
2019, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Education & Training, Social Justice, White Paperlnbressa
Author: N/A; Publisher: Accenture, Northeastern University Ethics Institute; Publication Year: 2019. The following framework on page 15 of this document outlines what a “hypothetical committee on data use might look like” with 9 people at the table. “For any given ethics committee, members will have appropriate domain knowledge as well. For example, the consumer advocate,…
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Big Data: Destroyer of Informed Consent
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Author: A. Michael Froomkin; Publisher: Yale Journal of Health Policy, Law & Ethics, and Yale Journal of Law & Technology; Publication Year: 2019. The following article focuses on how a regulation was changed in 2019 to revise what it means for the requirement of informed consent. Now that companies collect data virtually everywhere and data…
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