Scientific fact-checking using AI language models: COVID-19 research and beyond. Featuring Allen Institute for AI Researcher David Wadden artwork
Orchestrate all the Things

Scientific fact-checking using AI language models: COVID-19 research and beyond. Featuring Allen Institute for AI Researcher David Wadden

  • S1E5
  • 28:37
  • June 7th 2020

Fact or fiction? That's not always an easy question to answer. Incomplete knowledge, context and bias typically come into play. In the nascent domain of scientific fact checking, things are complicated.

If you think fact-checking is hard, which it is, then what would you say about verifying scientific claims, on COVID-19 no less? Hint: it's also hard -- different in some ways, similar in some others.

Fact or Fiction: Verifying Scientific Claims is the title of a research paper published on pre-print server Arxiv by a team of researchers from the Allen Institute for Artificial Intelligence (AI2), with data and code available on GitHub

In this backstage chat, David Wadden, lead author of the paper and a visiting researcher at AI2 and George Anadiotis connected to discuss the rationale, details, and directions for this work.

Article published on ZDNet in May 2020

Orchestrate all the Things

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George Anadiotis
Analyst, Consultant, Engineer, Founder, Host, Researcher, and Writer

I've got Tech, Data, AI and Media, and i'm not afraid to use them.

My name is George Anadiotis, and i am a writer, a planner and a doer. I am an Onalytica Top 100 Influencer in Big Data and Cloud, a Knowledge Graph expert, and a VentureBeat and ZDNet contributor, among other things.

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