Tag: Training Data

How Will Self-Flying Aircraft Make Ethical Choices?

Self-Flying Aircraft, Training Data, Trolley Problem

Author: Thom Patterson; Publisher: Flying; Publication Year: 2022. The following article looked at the future of flying aircraft. Currently, companies are working on creating self-flying aircraft which could be beneficial for the future. Companies use…
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Best Practices for Avoiding AI Biases in Data and Why It’s Important

Biased AI, Discriminatory Practices, Human Bias, Training Data, Unbiased Algorithms

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…
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How the Responsible Use of AI can Create Safer Online Spaces

Artificial Intelligence, Discrimination, Human Bias, Inbuilt Prejudices, Training Data

Author: Steve Durbin; Publisher: World Economic Forum; Publication Year: 2022. The following article discusses how although artificial intelligence (AI) promises to improve and streamline business operations and everyday life, there are proportional increasing concerns about…
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A Beauty Contest was Judged by AI and the Robots Didn’t like Dark Skin

Artificial Intelligence, Beauty.AI, Human Beauty, Microsoft, Racial Bias, Representation in Training Datasets, Training Data, Youth Laboratories

Author: Sam Levin; Publisher: The Guardian; Publication Year: 2016. The following article discusses how in 2016, the first artificial intelligence (AI) judged beauty contest was conducted. The objective factors included facial symmetry and wrinkles. Beauty.AI,…
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Can We Protect AI from Our Biases?

Algorithms, Artificial Intelligence, Biased Algorithms, Biased Data, Criminal Justice System, Gender Bias, IBM, Tay, Training Data, Unbiased Algorithms, Unconscious Bias, Watson

Author: Robin Hauser; Publisher: TED; Publication Year: N/A. In the following talk, Robin Hauser talks about unconscious bias in artificial intelligence (AI) algorithms. As part of producing her new movie about unconscious bias, she became…
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Automated Translation is Hopelessly Sexist, but Don’t Blame the Algorithm or the Training Data

Automated Translation Services, Gender Stereotypes, Language Translation Datasets, Training Data

Author: Nicolas Kayser-Bril; Publisher: Algorithm Watch; Publication Year: N/A. The following article discusses how automated translation services tend to erase women or reduce them to stereotypes. Simply tweaking the training data or the models is…
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SAM: The Sensitivity of Attribution Methods to Hyperparameters

Explainability, Machine Learning, Training Data, Transparency

Author: Naman Bansal, Chirag Agarwal, Anh Nguyen; Publisher: N/A; Publication Year: 2020. The following article provides examples and an accompanying talk that illustrates how in many classification machine learning systems, even more explainable models, not…
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Increasing Transparency in Perspective’s Machine Learning Models

Algorithms, Google, Model Transparency, Toxicity, Training Data

Author: Lucy Vasserman, John Cassidy; Publisher: Medium; Publication Year: 2019. The following article discusses how the Jigsaw team at Google analyzed Perspective API’s toxicity model, which gives toxicity scores to online comments from a variety…
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HireVue Assessments and Preventing Algorithmic Bias

Algorithms, Discrimination, HireVue, Human Bias, Risks, Training Data

Author: Loren Larson; Publisher: HireVue; Publication Year: 2018. The following article discusses how HireVue is committed to good science that creates a level playing field for all candidates. Without deliberately working to reduce bias that…
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