Examining the Internet and Machine Learning with David Weinberger - Community Broadband Bits Podcast 348

We bring listeners many stories from communities across the country who are taking steps to improve connectivity and find better ways to access the Internet. This week, Christopher and his guest talk about why we value the Internet. Author David Weinberger is also a Senior Researcher at Harvard’s Berkman Klein Center for Internet & Society and a Writer in Residence at Google PAIR.

David has worked with technology and the Internet for decades and has studied how the Internet and access to such vast amounts of information has changed the way we understand information, relationships, and the world we live in. Christopher asks David to share is findings and his analysis and they talk about the risks, the benefits, and the possibilities that these shifts bring. Christopher and David get into a deeper look at the value of the Internet and the responsibilities that we share as a result of this limitless tool that takes information from anywhere to anyone.

David has in recent years worked with machine learning, which he’s weaved into his research. He and Christopher look at the problems and potentials that machine learning have revealed and discuss possible solutions and innovative approaches. David explains his discoveries that connect interoperability, unpredictability, and the expansion of innovation. 

For more, check out these articles by David:

Our Machines Now Have Knowledge We’ll Never Understand

The Internet That Was (and Still Could Be)

And order his most recent book from IndieBound, Everyday Chaos, to be released in May 2019.

everyday-chaos-cover.jpg

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This show is 41 minutes long and can be played on this page or via iTunes or the tool of your choice using this feed. You can listen to the interview on this page or visit the Community Broadband Bits page.

Read the transcript for this episode.

Listen to other episodes here or view all episodes in our index.

Thanks to Arne Huseby for the music. The song is Warm Duck Shuffle and is licensed under a Creative Commons Attribution (3.0) license.