
Big Data

Big Data
July 16, 2018
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44m
•
Episode Ranking: 18/100
TOPICS: Artificial Intelligence Technology
Episode Description
Big DataBrian Cox and Robin Ince explore its scale, implications, and hidden mysteries.
Ideabrix Summary
The 'Big Data' episode of 'The Infinite Monkey Cage' podcast, hosted by Robin Ince and Brian Cox, delves into the ubiquitous and sometimes invisible collection of data in our modern lives. The episode opens with a humorous take on how online algorithms target individuals with ads, illustrating the personal impact of data collection. The panel, consisting of mathematician Dr. Hannah Fry, writer and comedian Timandra Harkness, and writer Danny Wallace, discuss the definition of big data, its vastness, and the various dimensions it encompasses, such as automatic collection, real-time updates, and the use of artificial intelligence for processing.
Dr. Fry challenges the notion that big data is a new phenomenon, citing historical examples like the census. The conversation shifts to the types of data collected today, which range from heart rate monitors to online search queries. The panelists explore the ethical implications of data collection, exemplified by a story about Target's predictive analytics inadvertently exposing a teen's pregnancy. Danny Wallace humorously recounts his mother's experience with targeted ads for mattresses, prompting a discussion on the inference of personal details from seemingly unrelated data.
The episode also touches on the use of big data to predict behaviors, both at the individual level, such as predicting criminal reoffending, and at the population level, like analyzing traffic patterns in a city. The panel debates the balance between using data for societal benefits and the potential invasion of privacy. Timandra Harkness highlights the importance of democratic oversight in data collection and usage, contrasting different approaches from places like China and Oakland, California.
Throughout the episode, the panelists share anecdotes and question the extent to which we should embrace or be wary of big data. They consider the implications of AI understanding irony and the potential for technology to outsmart humans. The episode concludes with audience questions that humorously reflect on the strangeness and curiosity that the internet can inspire.
Dr. Fry challenges the notion that big data is a new phenomenon, citing historical examples like the census. The conversation shifts to the types of data collected today, which range from heart rate monitors to online search queries. The panelists explore the ethical implications of data collection, exemplified by a story about Target's predictive analytics inadvertently exposing a teen's pregnancy. Danny Wallace humorously recounts his mother's experience with targeted ads for mattresses, prompting a discussion on the inference of personal details from seemingly unrelated data.
The episode also touches on the use of big data to predict behaviors, both at the individual level, such as predicting criminal reoffending, and at the population level, like analyzing traffic patterns in a city. The panel debates the balance between using data for societal benefits and the potential invasion of privacy. Timandra Harkness highlights the importance of democratic oversight in data collection and usage, contrasting different approaches from places like China and Oakland, California.
Throughout the episode, the panelists share anecdotes and question the extent to which we should embrace or be wary of big data. They consider the implications of AI understanding irony and the potential for technology to outsmart humans. The episode concludes with audience questions that humorously reflect on the strangeness and curiosity that the internet can inspire.
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