Tag: Discrimination

The Rise of Data and AI Ethics

Data Analytics, Data Ownership, Discrimination, Government Regulation, Transparency

Author: Nihar Dalmia, David Schatsky; Publisher: Deloitte. Insights; Publication Year: 2019. The following article provides a brief overview of how governments could and should be involved in the regulation of data ownership. Unlike so many…
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5 Ethical Questions in Data Science

Algorithms, Consent, Data Science, Discrimination, Human Bias, Transparency

Author: N/A; Publisher: Future Learn; Publication Year: N/A. The following article discusses how data science has increased rapidly; however, the concerns around the ethical use of it by organizations have risen alongside it. We have…
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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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HireVue Assessments and Preventing Algorithmic Bias

Algorithms, Discrimination, HireVue, Human Bias, Risks, Training Data

Author: Loren Larson; Publisher: HireVue; Publication Year: 2018. The following article discusses how HireVue is committed to good science that creates a level playing field for all candidates. Without deliberately working to reduce bias that…
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Data Science and Its Diversity Problems

Data Science, Discrimination, Gender Discrimination, Racial Discrimination

Author: Lauren Church, Carol Stabile; Publisher: Ms. Magazine; Publication Year: 2021. The following article discusses the issue of diversity in the data science field, which has adverse effects on the outcomes and range of issues…
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Ethical and Social Risks of Harm from Language Models

Access, Automation, Discrimination, Environmental Harms, Exclusion, Information Hazards, Language Models, Malicious Uses, Misinformation, Risks, Toxicity

Author: Laura Weidinger et. al.; Publisher: DeepMind; Publication Year: 2021. The following research paper helps organize the risk landscape associated with large-scale Language Models (LMs). To advance responsible innovation, a thorough understanding of the potential…
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Data Science Ethics – What Could Go Wrong and How to Avoid It

Accessible, Consent, Consumer Data, Consumer Privacy, Discrimination, Fairness, Fairness Accountability Transparency, Findable, Interoperable, Reusable, Transparency

Author: Kylie Ying; Publisher: freeCodeCamp; Publication Year: 2021. The following article discusses how the notion of informed consent quickly fades in a business setting, where it may be in fine print or even without our…
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How to Tackle Microaggressions in the Digital Workplace

Discrimination, Gender Bias, Microaggressions, Racial Bias

Author: Kaya Ismail; Publisher: Reworked; Publication Year: 2022. The following article describes how microaggressions are subtle acts of discrimination that are not overt. Especially gender-based or racial-based microaggressions, such as pathologizing cultural values or communication…
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Facebook’s Ad-Serving Algorithm Discriminates by Gender and Race

Advertisements, AI Bias, Algorithms, Discrimination, Facebook, Machine Learning

Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article describes how people may have seen personalized Facebook advertisements on their feed. As it turns out, that algorithm, based on machine learning,…
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