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Meta Trained an AI on 48M Science Papers. It Was Shut Down After 2 Days – CNET (Jackson Ryan | November 2022)

Posted by Connar Allen in Research Integrity on December 7, 2022
Keywords: Institutional responsibilities, Journal, Publication ethics, Research results

The Linked Original Item was Posted On November 20, 2022

A computer wire mesh image of a human head comprised of a mesh of interconnected shapes.

Galactica was supposed to help “organize science.” Instead, it spewed misinformation.

In the first year of the pandemic, science happened at light speed. More than 100,000 papers were published on COVID in those first 12 months — an unprecedented human effort that produced an unprecedented deluge of new information.

The final sentence in this piece is ‘in AI, moving fast and breaking things is risky — even irresponsible — and it could have real-world consequences. Galactica provides a neat case study in how things might go awry.’  This is a real-world of the consequences of deploying AI in the hopes that technology would do a better job than flawed and prejudiced human beings.  In fact, the training of machines often looks at a massive body of decisions made by humans in the past.  So rather than improving upon poor decisions previously made by humans, the machines will merely replicate the same flawed decision making into the future.

It would have been impossible to read and comprehend every one of those studies. No human being could (and, perhaps, none would want to).

But, in theory, Galactica could.

Galactica is an artificial intelligence developed by Meta AI (formerly known as Facebook Artificial Intelligence Research) with the intention of using machine learning to “organize science.” It’s caused a bit of a stir since a demo version was released online last week, with critics suggesting it produced pseudoscience, was overhyped and not ready for public use.

The tool is pitched as a kind of evolution of the search engine but specifically for scientific literature. Upon Galactica’s launch, the Meta AI team said it can summarize areas of research, solve math problems and write scientific code.

At first, it seems like a clever way to synthesize and disseminate scientific knowledge. Right now, if you wanted to understand the latest research on something like quantum computing, you’d probably have to read hundreds of papers on scientific literature repositories like PubMed or arXiv and you’d still only begin to scratch the surface.

Meta Trained an AI on 48M Science Papers. It Was Shut Down After 2 Days
Galactica was supposed to help “organize science.” Instead, it spewed misinformation.

Related Reading

Could machine learning fuel a reproducibility crisis in science? – Nature (Elizabeth Gibney | July 2022)

Microsoft limits access to facial recognition tool in AI ethics overhaul – The Guardian (Alex Hern | June 2022)

(Australia) Call for ban on facial recognition following claims retailers are using it illegally – Crickey (Cam Wilson | June 2022)

(EU) Europe’s Proposed Limits on AI Would Have Global Consequences – WIRED (Will Knight | April 2021)

(China and Australia) Chinese facial recognition scholar ‘ignored questions, went home’ – Times Higher Education (John Ross | )

AI datasets are prone to mismanagement, study finds – VB (Kyle Wiggers | August 2021)

Bechmann, A and Zevenbergen, B (2020) AI and Machine Learning: Internet Research Ethics Guidelines, IRE 3.0 Companion 6.1, Association of Internet Researchers (Papers: aline shakti franzke, et al | October 2019)

How face surveillance threatens your privacy and freedom – TED (Cade Crockford | November 2019)

Should we accept funding for facial recognition research, and other dilemmas?

The ethical questions that haunt facial-recognition research – Nature (Richard Van Noorden | November 2020)

Is it time to extend the required membership of research ethics committees?

The battle for ethical AI at the world’s biggest machine-learning conference – Nature (Elizabeth Gibney | January 2020)

(China) Publishers urged to take stronger stance on Uighur persecution – Times Higher Education (Ellie Bothwell | January 2020)

The Secretive Company That Might End Privacy as We Know It – New York Times (Kashmir Hill | January 2020)

Advances in Medicine often require innovation in ethical thinking too

Venice ‘time machine’ project suspended amid data row – Nature (Davide Castelvecchi Davide Castelvecchi | October 2019)

(US) Safeguards for human studies can’t cope with big data – Nature (Nathaniel Raymond | April 2019)

The ethics of computer science: this researcher has a controversial proposal – Nature (Elizabeth Gibney | July 2018)

(Australia) Face off: technology leaves regulators scrambling – Crickey (Elise Thomas | July 2018)

AI Research is in Desperate Need of an Ethical Watchdog – Wired (Sophia Chen | September 2017)

Study finds new way genome privacy can be breached – The San Diego (Bradley J. Fikes | September 2017)

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