Category: 2022
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Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults
Accessibility, Ageism, Digital Ageism, Discrimination, Fairness, Harms of Allocation, Harms of Representation, Older Adult Populations, PrejudiceAuthor: Charlene Chu et al.; Publisher: The Gerontologist, Volume 62; Publication Year: 2022. The following paper explores the impacts of ageism and technology. They define “digital ageism” as the repercussions of bias against older individuals…
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4 Principles of Responsible AI and Best Practices to Adopt Them
Data Access, Data Classification, Data Encryption, Fairness, Representation in Training Datasets, Responsible Artificial Intelligence, Synthetic Data, Training Data, Transparency, Usage RestrictionsAuthor: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article explores 4 principles for responsible AI design and recommends best practices. The 4 principles, along with best practices, include: 1). achieving fairness by…
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Bias in AI: What it is, Types, Examples & 6 Ways to Fix It in 2022
Artificial Intelligence, Automation, Debiasing, Decision-Making, Diversify, Human-Driven Processes, Multidisciplinary, Representation in Training Datasets, Third-Party, Training Data, TransparencyAuthor: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by…
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Iran’s Sweeping Internet Blackouts are a Serious Cause for Concern
Censorship, Human Rights, Human Rights Violations, Iran, Iranian Government, Police Brutality, Protests, Public Access, WhatsAppAuthor: Catherine Thorbecke; Publisher: CNN; Publication Year: 2022. Summary: In the following article, Thorbecke informs the public of how the Iranian government has censored the Iranian people by cutting off their access to wifi in…
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On Rational, Scientific, Objective Viewpoints from Mythical, Imaginary, Impossible Standpoints
Author: Catherine D’Ignazio and Lauren Klein Publisher: MIT Press Publication Year: 2020 Summary: The following book chapter from “Data Feminism” can be beautifully summed up by words from Black feminist sociologist Patricia Hill Collins: “Neither…
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LUCID: Exposing Algorithmic Bias through Inverse Design
Decision-Making, Equality of Outcomes, Equality of Treatment, Locating Unfairness through Canonical Inverse Design, LUCID, Output Metrics, StatisticsAuthor: Carmen Mazijn, Carina Prunkl, Andres Algaba; Publisher: Institute for Ethics in AI, Oxford University; Publication Year: 2022. The following paper discusses how artificial intelligence systems can generate, propagate, support, and automate bias in decision-making…
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Blake Lemoine on the Ethical Implications of Google’s ‘Sentient’ AI
Author: Blake Lemoine; Publisher: Dazed; Publication Year: 2022. The following article features the author, an engineer on Google’s LaMDA chatbot generator tool, who claimed the tool had come to life. During his experiments, the AI…
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Integrating Data Science Ethics Into an Undergraduate Major: A Case Study
Author: Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim, Katherine M. Kinnaird, Miles Q. Ott; Publisher: Journal of Statistics and Data Science Education; Publication Year: 2022. The following case study discusses how the National…
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Estée Lauder Settles Out of Court with Staff Who Were ‘Sacked by Algorithm’
Author: Becky Bargh; Publisher: Cosmetics Business; Publication Year: 2022. The following article reminds readers of the importance of not blindly relying on AI, especially when the results can seriously impact people. In the article, 3…