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Saturday, November 23, 2024

Scientific/Medical Integrity and the Future


Through the years, we’ve got witnessed the problems or a number of peer-reviewed papers being recalled.  A current instance as reported in quite a few locations, Reference 1 states: “The Dana-Farber Most cancers Institute (SCFI), an affiliate of Harvard Medical College, is in search of to retract six scientific research and proper 31 others that had been printed by the institute’s prime researchers, together with its CEO. The researchers are accused of manipulating information photos with easy strategies, primarily with copy-and-paste in picture modifying software program, reminiscent of Adobe Photoshop.”

There have been allegations of information manipulation in 57 SFCI-led research. [Ref. 2] There was a rise within the utility of AI functions being employed to examine for fraudulent imagery.  In an editorial [Ref. 3] in Science, they assert that they’re utilizing Proofig to search for picture duplication or different varieties of picture modifications.  Additionally they make use of iThenticate for plagiarism detection. 

In a associated space, AI is operating into copyright problem with its generated photos.  The IEEE Spectrum journal [Ref. 4] has an article on the potential for copyright violations.  One instance exhibits a generated article virtually 90% an identical in phrases and sentences from a New Youk Instances article.   Whereas this text references this kind of consequence to plagiaristic outputs, it’s plagiarism if an individual did that.  The power of AI generated texts to create imaginary references has been referenced as having hallucinatory output.  A key query that was generated was: is there any approach for a consumer of the generative AI to make sure there may be not copyright infringement or plagiarism?  A superb query that may must be answered.  Within the analysis of photos, the researchers discovered tons of of situations the place there was little or no distinction for recognizable characters in video and video games.  This evaluation was primarily based on a really restricted research of topics (just a few hundred). 

Whereas using Generative AI is changing into extra widespread, even cautious opinions of the information and photos is not going to forestall the misuse of the outcomes.  Within the April 2020 Weblog [Ref. 5] the subject of scientific integrity and COVID-19 was coated intimately.  The important thing factors had been that even with a strong analysis basis the outcomes might be topic to misinterpretation by people who find themselves unfamiliar with numerous strategies of analyzing the information.  One other level in that weblog is that when the outcomes of an evaluation are decreased to a single quantity, the potential for creating inappropriate impressions is excessive.  So, the assemble of the mannequin and the assumptions are essential.

This brings up one other query of what are the below pinnings of Synthetic Intelligence packages.  What are the algorithms which might be being employed AND do these algorithms work together with one another.  As described in earlier blogs involving professional methods work within the Eighties, the professional system is predicated on the atmosphere (information analyzed) it was created for.  The professional methods then improved its efficiency primarily based on the brand new information acquired although its operation.  It is a downside of self-biasing.  AI packages are constructed on a base of data.  Typically the information absorbed is protected, e.g., the New York Instances database.  So, all the information won’t be accessible.  If one had been to concentrate on a single database and develop that for projecting future info, there can be vital distinction in information projection relying on if the information had been obtained from CNN or Fox Information. 

The functions and even the event of recent instruments for creating reviews and the complementary packages for evaluating the veracity of the data introduced are nonetheless within the very early levels of growth.  This 12 months, 2024, ought to witness some fascinating growth within the utility of AI instruments.  Vital help in medication is being supplied already and extra must be coming.  It simply requires cautious utility of the packages and understanding the information.

References:

  1. https://arstechnica.com/science/2024/01/top-harvard-cancer-researchers-accused-of-scientific-fraud-37-studies-affected/
  2. https://arstechnica.com/science/2024/01/all-science-journals-will-now-do-an-ai-powered-check-for-image-fraud/
  3. https://www.science.org/doi/10.1126/science.adn7530
  4. https://spectrum.ieee.org/midjourney-copyright
  5. http://www.nano-blog.com/?p=370

About Walt

I’ve been concerned in numerous points of nanotechnology because the late Nineteen Seventies. My curiosity in selling nano-safety started in 2006 and produced a white paper in 2007 explaining the 4 pillars of nano-safety. I’m a expertise futurist and is presently centered on nanoelectronics, single digit nanomaterials, and 3D printing on the nanoscale. My expertise consists of three startups, two of which I based, 13 years at SEMATECH, the place I used to be a Senior Fellow of the technical workers once I left, and 12 years at Normal Electrical with 9 of them on company workers. I’ve a Ph.D. from the College of Texas at Austin, an MBA from James Madison College, and a B.S. in Physics from the Illinois Institute of Expertise.

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