Author: lnbressa
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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 LaboratoriesAuthor: 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 Build AI Without Losing Control Over It?
Author: Sam Harris; Publisher: TED; Publication Year: N/A. The following talk emphasizes the importance of knowing what we are developing in artificial intelligence (AI) and how it could potentially affect us. While we keep developing…
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Big Tech and Data Ethics
Algorithmic Injustice, Artificial Intelligence, Autonomous Vehicles, Discrimination, Machine Learning, Personal Data, Robotics, Surveillance, User Interface DesignAuthor: Sam Gilbert; Publisher: Bennett Institute of Public Policy, Cambridge; Publication Year: 2020. The following article discusses the following topics with respect big tech companies: privacy and surveillance; bias; discrimination; and injustice in algorithmic decisioning;…
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Ethical AI Governance Framework
AI Governance Framework, Artificial Intelligence, Competence, Explainability, Stakeholder Engagement, Sustainability, TransparencyAuthor: N/A; Publisher: Saidot; Publication Year: 2021. The following article outlines 6 building blocks of an ethical artificial intelligence (AI) governance framework. These include strategy and values (acceptable use of AI in alignment with business…
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Big Data Ethics and 10 Controversial Data Science Experiments
Author: Sabrina Dominguez; Publisher: Data Science Dojo; Publication Year: 2018. In the following article, Sabrina Dominguez summarizes 10 controversial data science projects involving big data. She looks at these examples through a business lens, with…