9.9 C
Wednesday, January 31, 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 Faculty, is searching for to retract six scientific research and proper 31 others that have been revealed by the institute’s prime researchers, together with its CEO. The researchers are accused of manipulating knowledge photographs with easy strategies, primarily with copy-and-paste in picture modifying software program, similar to Adobe Photoshop.”

There have been allegations of knowledge manipulation in 57 SFCI-led research. [Ref. 2] There was a rise within the utility of AI purposes 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 kinds 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 photographs.  The IEEE Spectrum journal [Ref. 4] has an article on the potential for copyright violations.  One instance exhibits a generated article nearly 90% similar in phrases and sentences from a New Youk Instances article.   Whereas this text references this sort 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 manner for a person of the generative AI to make sure there’s not copyright infringement or plagiarism?  A very good query that can must be answered.  Within the analysis of photographs, the researchers discovered a whole lot of cases 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 examine of topics (a number of hundred). 

Whereas using Generative AI is turning into extra widespread, even cautious evaluations of the information and photos won’t 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 stable analysis basis the outcomes might be topic to misinterpretation by people who find themselves unfamiliar with varied 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 crucial.

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

The purposes and even the event of latest instruments for creating stories and the complementary applications for evaluating the veracity of the knowledge offered are nonetheless within the very early phases of improvement.  This 12 months, 2024, ought to witness some attention-grabbing improvement within the utility of AI instruments.  Vital help in drugs is being supplied already and extra must be coming.  It simply requires cautious utility of the applications and understanding the information.


  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 varied features 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 the moment 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 employees once I left, and 12 years at Basic Electrical with 9 of them on company employees. 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.

Latest news
Related news


Please enter your comment!
Please enter your name here