Somewhere on Earth: The Global Tech Podcast   /     Could making Wikidata 'human' readable lead to better AI?

Description

Could making Wikidata 'human' readable lead to better AI? A new project is underway to allow Large Language Models (LLMs) to read Wikidata. The data is currently structured in a way that’s machine readable, but LLMs read data more like humans than machines, meaning this vast amount of human curated, high quality data isn’t accessible to this type of AI. By allowing access to Wikidata, LLMs could become more reliable. Ania spoke to Lydia Pintscher, the Portfolio Lead Product Manager at Wikidata Deutschland, to learn more about these developments. Most news websites block AI Chatbots Two thirds of high quality news websites block AI chatbots from accessing their information, according to a report by the misinformation monitoring organisation NewsGuard. This means that some of the world’s most popular AI chatbots could be collecting data on misinformation from low quality news sources and even conspiracy and hoax sites. The Enterprise Editor at NewsGuard is Jack Brewster and he is on the show to explain their findings. The programme is presented by Gareth Mitchell and the studio expert is Ania Lichtarowicz. More on this week's stories: Wikidata and Artificial Intelligence: Simplified Access to Open Data for Open-Source Projects AI Chatbots Are Blocked by 67% of Top News Sites, Relying Instead on Low-Quality Sources Support the show Editor: Ania Lichtarowicz Production Manager: Liz Tuohy Recording and audio editing : Lansons | Team Farner For new episodes, subscribe wherever you get your podcasts or via this link: https://www.buzzsprout.com/2265960/supporters/new Follow us on all the socials: Join our Facebook group Instagram Twitter/X If you like Somewhere on Earth, please rate and review it on Apple Podcasts Contact us by email: hello@somewhereonearth.co Send us a voice note: via WhatsApp: +44 7486 329 484 Find a Story + Make it News = Change the World Learn more about your ad choices. Visit megaphone.fm/adchoices

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Duration
1901
Publishing date
2024-10-10 04:00
Contributors
  Somewhere on Earth
author  
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https://traffic.megaphone.fm/FPMN1114981371.mp3?updated=1729269292
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Shownotes

Could making Wikidata 'human' readable lead to better AI?

A new project is underway to allow Large Language Models (LLMs) to read Wikidata. The data is currently structured in a way that’s machine readable, but LLMs read data more like humans than machines, meaning this vast amount of human curated, high quality data isn’t accessible to this type of AI. By allowing access to Wikidata, LLMs could become more reliable. Ania spoke to Lydia Pintscher, the Portfolio Lead Product Manager at Wikidata Deutschland, to learn more about these developments.


Most news websites block AI Chatbots

Two thirds of high quality news websites block AI chatbots from accessing their information, according to a report by the misinformation monitoring organisation NewsGuard. This means that some of the world’s most popular AI chatbots could be collecting data on misinformation from low quality news sources and even conspiracy and hoax sites. The Enterprise Editor at NewsGuard is Jack Brewster and he is on the show to explain their findings.


The programme is presented by Gareth Mitchell and the studio expert is Ania Lichtarowicz.


More on this week's stories:

Wikidata and Artificial Intelligence: Simplified Access to Open Data for Open-Source Projects

AI Chatbots Are Blocked by 67% of Top News Sites, Relying Instead on Low-Quality Sources

Support the show

Editor: Ania Lichtarowicz

Production Manager: Liz Tuohy

Recording and audio editing : Lansons | Team Farner


For new episodes, subscribe wherever you get your podcasts or via this link:

https://www.buzzsprout.com/2265960/supporters/new


Follow us on all the socials:

If you like Somewhere on Earth, please rate and review it on Apple Podcasts


Contact us by email: hello@somewhereonearth.co

Send us a voice note: via WhatsApp: +44 7486 329 484


Find a Story + Make it News = Change the World

Learn more about your ad choices. Visit megaphone.fm/adchoices