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1 Jerry Seinfeld:A Joke About The Phrase "It Is What It Is' 1:54
Enron, Wikipedia and the Deal with Biased Low-Friction Data
Manage episode 280193765 series 2789552
The Enron emails helped give us spam filters, and many natural language processing and fact-checking algorithms rely on data from Wikipedia. While these data resources are plentiful and easily accessible, they are also highly biased. This week, we speak to guests Amanda Levendowski and Katie Willingham about how low-friction data sources contribute to algorithmic bias and the role of copyright law in accessing less troublesome sources of knowledge and data.
41 episodes
Manage episode 280193765 series 2789552
The Enron emails helped give us spam filters, and many natural language processing and fact-checking algorithms rely on data from Wikipedia. While these data resources are plentiful and easily accessible, they are also highly biased. This week, we speak to guests Amanda Levendowski and Katie Willingham about how low-friction data sources contribute to algorithmic bias and the role of copyright law in accessing less troublesome sources of knowledge and data.
41 episodes
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1 Season 5 Trailer | Welcome Back, Congress. … Now what? 1:29




1 Why does open source have such a wide gender gap? 29:12

1 Is the presence of a human enough to regulate an AI decision-making system? 27:29

1 Enron, Wikipedia and the Deal with Biased Low-Friction Data 29:17

1 Can automation make peer review faster and fairer? 25:50

1 Is Crowdsourcing the Answer to our Data Diversity Problem? 30:25

1 If Banning Bots Won't Stop Disinformation, What Will? 32:18




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