Tag: Algorithms
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Data Ethics Principles
Accountability, Algorithms, Data Control, Data Processing, Equality, Personal Information, TransparencyAuthor: N/A; Publisher: Dataethics; Publication Year: 2017. The following article outlines 5 data ethics principles that should be carried out when conducting any sort of data processing activity. To start, data ethics is centered around…
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Gaining a Competitive Advantage Through Data Ethics
Algorithms, Artificial Intelligence, Data Ownership, Data Protection, Machine Learning, TransparencyAuthor: Danielle Clifford; Publisher: Pinsent Masons; Publication Year: 2021. The following article discusses how the data ethics challenge spans multiple vectors. One of the most concerning issues centers around the artificial intelligence (AI) and machine…
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The Hidden Ethics of Our Personal Data
Author: Danel Goddemeyer, Dominikus Baur; Publisher: TEDx; Publication Year: N/A. The following TED Talk features a collaborative audience demonstration on collecting data. It makes connections to how easy is it to leave a data trail…
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Algorithmic Bias: Why Bother?
Author: Damini Gupta, T. S. Krishnan; Publisher: California Review Management; Publication Year: 2020. The following article highlights the importance and the need to reduce algorithmic bias. The article starts by recognizing that human bias will…
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Bias in Machine Learning
Algorithms, Discrimination, Feedback Loop, Inequality, Machine Learning, Machine Learning Lifecycle, Miro, Unconscious BiasAuthor: N/A; Publisher: Miro; Publication Year: N/A. The following visualization highlights the impact of bias in several aspects of the machine learning lifecycle. One point discussed frequently is the patterns of bias and discrimination baked…
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Weapons of Math Destruction
Author: Cathy O’Neil; Publisher: Crown; Publication Year: 2016. The following book discusses “weapons of math destruction”: algorithms that try to quantify subjective qualities or judgment metrics. For example, an algorithm that tries to quantify “creditworthiness”…
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The Era of Blind Faith in Big Data Must End
Algorithmic Audit, Algorithmic Models, Algorithms, Big Data, Blind Trust, Data Collection, Unconscious BiasAuthor: Cathy O’Neil; Publisher: TED Talks; Publication Year: 2017. The following video highlights the dangers of blind trust in algorithmic models. O’Neil suggests that algorithms are much less scientific and objectively truthful than commonly perceived.…
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Overcoming AI Bias to Empower an Equitable Society
Author: Caslee Sims; Publisher: SAS; Publication Year: 2021. The following article talks about how algorithms and predictive models in health care and criminal justice can change the trajectory of someone’s life. Caslee provides two important…