Author: lnbressa
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Chris Olah on What the Hell is Going on Inside Neural Networks
Author: Robert Wiblin, Keiran Harris, Chris Olah; Publisher: 80,000 Hours; Publication Year: 2021. The following podcast episode features Chris Olah, a researcher at Google focused on data interpretability, specifically as it relates to neural networks…
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The Ethics of Smart Cities and Urban Science
Anticipatory Governance, Data-Driven Urbanism, Dataveillance, Epistemology, Geosurveillance, Smart Cities, Software-Enabled Technology, Urban Big Data, UrbanismAuthor: Rob Kitchin; Publisher: The Royal Society; Publication Year: 2016. The following article talks about how software-enabled technologies and urban big data have become essential to the functioning of cities. Consequently, urban operational governance and…
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Preventing Harmful AI Bias With Fairness Through Awareness
AI Transparency, Algorithmic Accountability Act, Algorithms, Artificial Intelligence, Artificial Intelligence Act, European Union, Explainability, Fairness, TransparencyAuthor: Rik Chomko; Publisher: Forbes; Publication Year: 2022. The following article describes how, from an equity standpoint, artificial intelligence (AI) transparency is vital for preventing bias that has the potential to penalize protected classes or…
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Data Privacy Laws in 2022: What You Need to Know
Author: Rick Buck; Publisher: Wirewheel; Publication Year: 2021. The following article describes how each and every year there are new privacy laws that may be put into place that we as users of exploring and…
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Critics Raise Alarm Over Big Tech’s Most Powerful Tools
Author: Richard Water; Publisher: Financial Times; Publication Year: 2021. The following article discusses how big tech companies are using “Dark Patterns” in order to nudge their userbase into certain patterns of behavior. In a “race…