Tag: Algorithms

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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Ethical Issues Surrounding Research of AI in Health Care

Accountability, Algorithm Training, Algorithms, Artificial Intelligence, Autonomy, Data and Safety Monitoring Board, Equity, Responsibility, Transparency

Author: Lisa Murtha, Pralika Jain, Kiyong Song; Publisher: Reuters; Publication Year: 2022. The following article discusses how artificial intelligence (AI) models can be flawed considering humans are the ones behind making these models. The authors…
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Racism, the Criminal Justice System, and Data Science

Algorithms, Ethnic Bias, Racial Bias

Author: N/A; Publisher: Linear Digressions; Publication Year: 2020. The following podcast episode discusses how regardless of whether race or ethnicity is included in your algorithm, correlated variables can still instill biases. The variables selected may…
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Gender and Representation Bias in GPT-3 Generated Stories

Algorithms, Gender Bias, Gender Stereotypes, GPT-3, Natural Language Processing Technology

Author: Li Lucy, David Bamman; Publisher: Proceedings of the 3rd Workshop on Narrative Understanding; Publication Year: 2021. The following article talks about how GPT-3 is a commercially available natural language generator that has been shown…
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What Legal Teams and Businesses Should Know About Ethical Data Mining and Use

Algorithms, Data Ownership, Data Privacy, Data Usage, Ethical Data Usage, Intention, Transparency

Author: Kristel Staci; Publisher: The Stamp; Publication Year: 2022. The following article features a discussion of some considerations that businesses need to take into account for data usage based on the perspective of a legal…
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Why Do We Need to Talk About Ethics and Bias in AI?

Accuracy, Algorithms, Biased AI

Author: Kim Escherich; Publisher: IBM Nordic Blog; Publication Year: 2019. The following article discusses how as digitization has been extended, we started to consider how far we can extend it with the concerns of ethics.…
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Trans Researchers Want Google Scholar to Stop Deadnaming Them

Algorithms, Deadnaming, Google, LGBTQIA+, Trans People

Author: Khari Johnson; Publisher: Wired; Publication Year: 2022. The following article identifies an ongoing problem in many search based algorithms in regards to using the correct name for a transgender individual. “Deadnaming” is the incorrect…
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Sexist and Biased? How Credit Firms Make Decisions

Algorithms, Apple, Artificial Intelligence, Credit Score, Gender Bias, Goldman Sachs, Historical Data

Author: Kevin Peachey; Publisher: BBC News; Publication Year: 2019. The following article describes how in November 2019, a tech entrepreneur reported that he was approved credit 20 times more on his Apple Card than his…
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Machine Learning, Data Governance, and Data Ethics

Algorithms, California Consumer Privacy Act, Data Governance Programs, GDPR, General Data Protection Regulation, Machine Learning, Personal Information, Toronto Declaration

Author: Keith D. Foote; Publisher: Dataversity; Publication Year: 2022. The following article discusses how in recent years, internet use has advanced very quickly, and unethical data use by internet businesses is rampant. This has led…
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