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Saturday, November 30, 2024

Scientific/Medical Integrity and the Future


Over time, we now have 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 have been printed by the institute’s high researchers, together with its CEO. The researchers are accused of manipulating knowledge 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 software of AI purposes being employed to test 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 working into copyright problem with its generated photos.  The IEEE Spectrum journal [Ref. 4] has an article on the potential for copyright violations.  One instance reveals a generated article virtually 90% an identical in phrases and sentences from a New Youk Instances article.   Whereas this text references such a consequence to plagiaristic outputs, it’s plagiarism if an individual did that.  The flexibility 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 means for a consumer of the generative AI to make sure there’s not copyright infringement or plagiarism?  A superb query that can must be answered.  Within the analysis of photos, the researchers discovered lots of of situations the place there was little or no distinction for recognizable characters in video and video games.  This evaluation was based mostly on a really restricted examine of topics (a number of hundred). 

Whereas using Generative AI is changing into extra widespread, even cautious opinions of the information and footage 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 lined intimately.  The important thing factors have been that even with a strong analysis basis the outcomes might be topic to misinterpretation by people who find themselves unfamiliar with numerous methods 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 underneath pinnings of Synthetic Intelligence packages.  What are the algorithms which are being employed AND do these algorithms work together with one another.  As described in earlier blogs involving skilled programs work within the Nineteen Eighties, the skilled system is predicated on the surroundings (knowledge analyzed) it was created for.  The skilled programs then improved its efficiency based mostly on the brand new knowledge acquired although its operation.  It is a drawback of self-biasing.  AI packages are constructed on a base of knowledge.  Typically the information absorbed is protected, e.g., the New York Instances database.  So, all the information may not be accessible.  If one have been to concentrate on a single database and develop that for projecting future data, there could be important distinction in information projection relying on if the information have been obtained from CNN or Fox Information. 

The purposes and even the event of recent instruments for creating experiences and the complementary packages for evaluating the veracity of the data offered are nonetheless within the very early levels of growth.  This yr, 2024, ought to witness some attention-grabbing growth within the software of AI instruments.  Important help in medication is being supplied already and extra needs to be coming.  It simply requires cautious software 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

Scientific/Medical Integrity and the Future

About Walt

I’ve been concerned in numerous elements 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 know-how futurist and is at present 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 after I left, and 12 years at Common 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 Know-how.

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