Plagiarism's Shifting Shadows: Theft, Deceit, and the Specter of AI

New concerns arise as AI tools make text generation easier. Experts question if we care enough about plagiarism today.

#AI, #Plagiarism, #AcademicIntegrity, #OriginalWork, #Ethics

https://newsletter.tf/ai-use-changing-views-on-plagiarism/

Experts are worried that AI might make people care less about plagiarism, which is using someone else's work without credit.

#AI, #Plagiarism, #AcademicIntegrity, #OriginalWork, #Ethics
https://newsletter.tf/ai-use-changing-views-on-plagiarism/

AI Use May Change How We See Plagiarism, Experts Say

New concerns arise as AI tools make text generation easier. Experts question if we care enough about plagiarism today.

NewsletterTF

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Fraud, AI slop and huge profits: is science publishing broken? – podcast #Science #Other #SciencePublishing #AIinResearch #AcademicIntegrity
https://purescience.news/article?id=959761
Fraud, AI slop and huge profits: is science publishing broken? – podcast

Scientists are warning that academic publishing needs urgent reform in order to retain trust in the research system. Ian Sample tells Madeleine Finlay what has gone so wrong, and Dr Mark Hanson of the University of Exeter proposes some potential solutions Quality of scientific papers questioned as academics ‘overwhelmed’ by the millions published Is the staggeringly profitable business of scientific publishing bad for science? Continue reading...

Pure Science News
Fraud, AI slop and huge profits: is science publishing broken? – podcast #Science #Other #SciencePublishing #AIinResearch #AcademicIntegrity
https://purescience.news/article?id=959761
Fraud, AI slop and huge profits: is science publishing broken? – podcast

Scientists are warning that academic publishing needs urgent reform in order to retain trust in the research system. Ian Sample tells Madeleine Finlay what has gone so wrong, and Dr Mark Hanson of the University of Exeter proposes some potential solutions Quality of scientific papers questioned as academics ‘overwhelmed’ by the millions published Is the staggeringly profitable business of scientific publishing bad for science? Continue reading...

Pure Science News
Fraud, AI slop and huge profits: is science publishing broken? – podcast #Science #Other #SciencePublishing #AIinResearch #AcademicIntegrity
https://purescience.news/article?id=959761
Fraud, AI slop and huge profits: is science publishing broken? – podcast

Scientists are warning that academic publishing needs urgent reform in order to retain trust in the research system. Ian Sample tells Madeleine Finlay what has gone so wrong, and Dr Mark Hanson of the University of Exeter proposes some potential solutions Quality of scientific papers questioned as academics ‘overwhelmed’ by the millions published Is the staggeringly profitable business of scientific publishing bad for science? Continue reading...

Pure Science News
Computer finds flaw in major physics paper for first time

A computer language designed to robustly verify mathematical theorems and expose logical flaws has been turned towards a physics paper – and spotted an error. The discovery raises questions about how many other papers may harbour similar issues

New Scientist
Computer finds flaw in major physics paper for first time

A computer language designed to robustly verify mathematical theorems and expose logical flaws has been turned towards a physics paper – and spotted an error. The discovery raises questions about how many other papers may harbour similar issues

New Scientist
Computer finds flaw in major physics paper for first time

A computer language designed to robustly verify mathematical theorems and expose logical flaws has been turned towards a physics paper – and spotted an error. The discovery raises questions about how many other papers may harbour similar issues

New Scientist
Computer finds flaw in major physics paper for first time

A computer language designed to robustly verify mathematical theorems and expose logical flaws has been turned towards a physics paper – and spotted an error. The discovery raises questions about how many other papers may harbour similar issues

New Scientist