Biased AI

Teaching Data Ethics: We’re Going to Ethics the Heck Out of This

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Author: Tristan Henderson; Publisher: Association for Computing (ACM) Machinery Digital Library; Publication Year: 2019. The following paper outlines a new Data Ethics & Privacy module that was introduced to computer science students in 2018. The module aims to raise student awareness of current debates in computer science such as bias in artificial intelligence, algorithmic accountability, filter bubbles and data protection, and practical mechanisms for…

AI has a Dangerous Bias Problem — Here’s How to Manage It

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Author: Thomas Macaulay, Alejandro Saucedo; Publisher: The Next Web; Publication Year: 2022. The following article discusses how almost all artificial intelligence (AI) algorithms are inherently biased as they do exactly what us the programmers tell them to do and we are all inherently biased ourselves. This resource is an interview with Alejandro Saucedo, Chief Scientist at The Institute for Ethical AI, who discusses his main points of what needs to be…

Best Practices for Avoiding AI Biases in Data and Why It’s Important

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Author: Sunil Yadav; Publisher: Baseline; Publication Year: 2022. The following article discusses how technology is created by humans and often reflects human biases. It is important to prioritize having unbiased artificial intelligence (AI) algorithms and models, because biased AI systems can produce erroneous and discriminatory predictions, and impact a business’s reputation, future opportunities, and…

How Racial Bias in Tech Has Developed the “New Jim Code”

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Author: Sarah E. Bon, Nyasha Junior; Publisher: Hyperallergic; Publication Year: 2020. The following article explores the use of artificial intelligence (AI) and machine learning in artistic research and reconstructions. Specifically, the authors explore the hidden human bias behind these technologies that are seemingly objective and scientific. Throughout the article, the authors name numerous examples when unethical and biased…

Ethical and Legal Challenges of Artificial Intelligence-Driven Healthcare

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Author: Sara Gerke, Timo Minssen, and Glenn Cohen; Publisher: National Library of Medicine; Publication Year: 2020. The following article is dense, but its biggest takeaway is the impact of getting things wrong is extremely high in the healthcare sector. If an algorithm recommends an incorrect or unsafe oncology treatment, it could cost a patient their lives. The practical example of this is simply having bad training data, but it can also take a bias skew. When…

How Biased Are Our Algorithms?

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Author: Safiya Umoja Noble; Publisher: TEDx Talks; Publication Year: 2014. The following video initially discusses how the speaker is not the same skin tone as her white mother. She then goes into discussing the cultural revolution that was happening during her childhood in the 70s and 80s. In referencing a study that was done in the 40s based on giving Black children both a Black and a white doll and asking questions…

Fighting Bias in AI With Ethics Training

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Author: Paul Mah; Publisher: CDO Trends; Publication Year: 2022. The following article describes how according to a recent study, over $77.5 billion was invested in artificial intelligence (AI) in 2021. But with the growth of AI, the concern about bias has grown as well. Even though organizations are not actively trying to perpetuate and amplify biases, data has been collected in ways that make this nearly…

Bias and Ethical Concerns in Machine Learning

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Author: Niral Sutaria; Publisher: Isaca Journal; Publication Year: 2022. The following article discusses how bias is a large concern in artificial intelligence (AI) that is often overlooked due to the growth and excitement within the AI field. Examples of this bias recently are an AI-based recruiting tool had to be retired as it was shown to be biased against women, or a facial recognition software being shutdown after treating certain…

AI Bias and Human Rights: Why Ethical AI Matters

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Author: Mikael Anneroth; Publisher: Ericsson; Publication Year: 2021. The following article begins with descriptions of examples of artificial intelligence (AI) bias and the poses the question: without ethical use of AI, just how at stake are our human rights? The article then describes characteristics of frameworks for ethical AI which is then followed up by examples in practice. The first tenant of ethical AI is more regulation…

A University of Maryland Professor Wants to Expose the Hidden Bias in AI, and Ehen Use It for Good

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Author: Maya Lora; Publisher: The Baltimore Sun; Publication Year: 2022. The following article features an interview with Lauren Rhue. The article focuses on artificial intelligence (AI) technology and how biases are implicitly coded into AI algorithms. She believes however that AI can and should still be used as it can help society and businesses in various ways. She believes that human intervention in the model can…