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Ethical Data Analytics — What Every Business Needs to Know
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Author: Tom Jongen; Publisher: Medium; Publication Year: 2021. The following article discusses how if any company uses customer data to make customer-facing decisions, there are ethical issues that need to be considered. Also, it asks us to consider “When ‘Know Your Customer’ goes too far;” and the issues related to Facebook/Cambridge Analytica political influence scandal…
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Cangrade Announces Patent for Removing Bias in AI Hiring
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Author: N/A; Publisher: Globe Newswire; Publication Year: 2022. The following article discusses how Cangrade received a patent on its “bias-free” hiring technology solution. Cangrade used an iterative Adverse Impact algorithm, meaning not only will the algorithm adversarially find bias in the model, but the model will iterate until no more bias is found. The scope…
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Ethical Use of AI in Hiring
2021, Bias, Blog Article, Code of Ethics, Diversity, Equity & Inclusion, Frameworks, Privacy, Underrepresented Authorlnbressa
Author: Nina Alag Suri; Publisher: LinkedIn; Publication Year: 2021. The following article describes how artificial intelligence (AI) plays an important role in talent acquisition and can make more precise predictions of candidate success. In order to ethically use AI, companies should utilize ethical frameworks and an ethical code of conduct. Some notable topics include: candidates…
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Diversity in Data Science: A Systemic Inequality
Author: Luciano Vilas Boas; Publisher: Medium; Publication Year: 2020. The following article serves as a comprehensive look into why data science educators and large tech companies both do not hire at the proportion of Blacks, Latinx, and females that the Census indicates are out there. About 12% of all people in data science courses are…
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The Ethics of People Analytics and AI in the Workplace: Four Dimensions of Trust
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Author: Josh Bersin; Publisher: The Medium; Publication Year: 2019. The following article first establishes several ethical issues that can result from using artificial intelligence (AI) in hiring, managing employees, or making other decisions base on data about humans. For example, if a company purchases a license to use such a software that has been developed…
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Amazon Scraps Secret AI Recruiting Tool that Showed Bias Against Women
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Author: Jeffrey Dastin; Publisher: Reuters; Publication Year: 2018. The following article discusses how being able to make the hiring process easier or less time-consuming is a goal for most major big companies. Some companies, like Amazon, have used artificial intelligence (AI) methods in order to create a model which is able to indicate which candidates…
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What Does it Mean to ‘Solve’ the Problem of Discrimination in Hiring? Social, Technical and Legal Perspectives from the UK on Automated Hiring Systems
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Author: Javier Sánchez-Monedero, Lina Dencik, Lilian Edwards; Publisher: Conference on Fairness, Accountability, and Transparency; Publication Year: 2020. The following article describes how discriminatory practices in recruitment and hiring are a persistent problem that affects not only workplace relations but also broader understandings of economic justice and inequality. With the introduction and increased adoption of automated…
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The Right to Privacy in the Digital Age: Report by the UN High Commissioner for Human Rights
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Author: N/A; Publisher: United Nations Human Rights Council; Publication Year: 2021. The following report from the United Nations Human Rights Commissioner identifies Artificial Intelligence (AI) and its widespread use as a threat to human rights, specifically to privacy, worldwide. This report cites examples of violations in law enforcement, distribution of public benefits, hiring, and managing…
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Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures
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Author: Eleanor Holmes Norton, Alan K. Campbell, Drew S. Days III, Weldon J. Rougeau, Kent A. Peterson; Publisher: U.S. Equal Employment Opportunity Commission; Publication Year: 1979. The following article is more specific to a particular section of data ethics: identifying adverse impact in hiring and promotions. Each group impacted by the hiring/promotion decision must be…
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