Author: lnbressa

Crunching the Numbers on Diversity in Data Science: Events & Resources to Foster Inclusion

Data Science, Enrollment Data, Ethnic Bias, Gender Bias, Racial Bias, Representation

Author: Laramie Paxton; Publisher: Medium; Publication Year: 2020. The following article describes how data science is currently one of the most attractive jobs due to job availability and competitive salaries, but it has a diversity…
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AI Ethics Left Hanging When AI Wins Art Contest And Human Artists Are Fuming

AI Usage, Artificial Intelligence, Fairness, Image Generation, Philosophy

Author: Lance Eliot; Publisher: Forbes; Publication Year: 2022. The following article discusses how recently in Colorado someone submitted art into a competition and won, the catch being that they used artificial intelligence (AI) to create…
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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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DynamoFL Aims to Bring Privacy-Preserving AI to More Industries

DynamoFL, Federated Learning, Machine Learning, Malicious Actors, Sensitive Data, Training Data

Author: Kyle Wiggers; Publisher: TechCrunch+; Publication Year: 2022. The following article covers how federated learning allows machine learning (ML) models to be trained on sensitive data without having it housed on multiple different servers and/or…
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Data Ethics

Data Science, INFORMS Framework

Author: Kyle Polich, Scott Nestler; Publisher: Data Skeptic; Publication Year: 2018. In the following podcast episode, Kyle and Scott discuss that there is not currently a single, industry wide framework for ethics in data science…
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How to Keep Human Bias Out of AI

Alexa, Artificial Intelligence, Gender Bias, Pregnancy, Racial Bias, Sexism, Siri, Targeted Advertising, Voice Assistants

Author: Kriti Sharma; Publisher: TED; Publication Year: N/A. The following video features Kriti Sharma who talks about how human-programmed artificial intelligence (AI) can have the biases of humans encoded into them and how this can…
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China Deploys Its First Robot Traffic Police

Facial Recognition Systems, Road Patrol Robots, Security Risks

Author: Kristin Houser; Publisher: Futurism; Publication Year: 2019. The following article is about 3 “road patrol robots” that were recently released in China. These robots will be able to identify drivers using facial recognition, take…
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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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Ethical Use of Customer Data in a Digital Economy

Data Collection, Data Guidelines, Data Policies, Data Principles, Data Utilization, General Data Protection Regulation, Management Framework, Risks, Transparency

Author: N/A; Publisher: KPMG International; Publication Year: 2019. The following article is written by KPMG Digital and Technology Department employees. It touches on financial institutions’ principles, policies, and data ethics guidelines. The report points out…
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