Tag: Machine Learning
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Data Bias: Why It Matters, and How to Avoid It
Artificial Intelligence, Association Bias, Biased Data, Confirmation Bias, Data Usage, Demographic Bias, Machine Learning, Measurement Bias, Privacy Regulations, Selection BiasAuthor: Megan Wells; Publisher: Scuba; Publication Year: N/A. The following article describes how with the rise of artificial intelligence (AI) and machine learning (ML), the use of data has multiplied over the years. The problem…
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The Invisible Workers of the AI Era
Author: Maximilian GAHNTZ; Publisher: Medium; Publication Year: 2018. The following article discusses how a lot of automated programs require a large of amount of workers doing blue collar work such as data entry in order…
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The AI Researcher Giving Her Field Its Bitter Medicine
Algorithms, Artificial Intelligence, Hippocratic Oath, Machine Learning, Mentorship, Research ImpactsAuthor: Max Levy; Publisher: Quanta Magazine; Publication Year: 2022. The following article contains an interview with Anima Anandkumar, a professor of computing at CIT & senior director of machine learning research at Nvidia, who focuses…
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Discrimination in a Sea of Data: Exploring the Ethical Implications of Student Success Analytics
Algorithms, Artificial Intelligence, Learning Management Systems, Machine Learning, Student Success AnalyticsAuthor: Maureen Guarcello, Linda Feng, Shahriar Panahi, Szymon Machajewski and Marcia Ham; Publisher: Educause Review; Publication Year: 2021. The following article pertains to the ethics of using artificial intelligence (AI) and/or machine learning (ML) to…
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5 Ways AI Bias Hurts Your Business
Anti-Seminism, Artificial Intelligence, Chatbot, Facial Recognition Systems, Internet Trolls, Law Enforcement, Machine Learning, Microsoft, Natural Language Processing Technology, TayAuthor: Mary Pratt; Publisher: TechTarget; Publication Year: 2021. The following article features artificial intelligence (AI) experts who pointed to a Microsoft-designed chatbot called Tay as an example of how bias works and how it can…
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The importance of an ethical AI implementation in the financial industry
Author: Marc Garay Publisher: NTT Data Publication Year: 2021 Summary: The following article discusses how a financial institution can implement compatible ethical guidelines when trying to implement machine learning to keep up with the needs…
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Towards Data Science (Channel)
Author: N/A; Publisher: Medium; Publication Year: N/A. The following communication channel offers publications of independent authors if they follow specific guidelines specified by the editors. The channel places attention on the question of ethics in…
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Delayed Impact of Fair Machine Learning
Author: Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt; Publisher: BAIR; Publication Year: 2018. The following article discusses the pursuit of fairness in terms of machine learning implementation in regards to treatment…
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Bias in Machine Learning Examples: Policing, Banking, COVID-19
Author: Lisa Morgan; Publisher: Tech Target; Publication Year: 2020. The following article discusses how human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes…