University of Kwazulu-Natal

Work In Progress Safeguarding Authenticity Strategies For Combating

Bonisiwe Shabane
-
work in progress safeguarding authenticity strategies for combating

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. Corresponding author a.hamed@sanoscience.org Corresponding author xwu@zhejianglab.com This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). As the influence of transformer-based approaches in general and generative artificial intelligence (AI) in particular continues to expand across various domains, concerns regarding authenticity and explainability are on the rise.

Here, we share our perspective on the necessity of implementing effective detection, verification, and explainability mechanisms to counteract the potential harms arising from the proliferation of AI-generated inauthentic content and science. We recognize the transformative potential of generative AI, exemplified by ChatGPT, in the scientific landscape. However, we also emphasize the urgency of addressing associated challenges, particularly in light of the risks posed by disinformation, misinformation, and unreproducible science. This perspective serves as a response to the call for concerted efforts to safeguard the authenticity of information in the age of AI. By prioritizing detection, fact-checking, and explainability policies, we aim to foster a climate of trust, uphold ethical standards, and harness the full potential of AI for the betterment of science and society. Subject areas: Biocomputational method, Bioinformatics, Biological sciences, Computational bioinformatics, Natural sciences, Neural networks, Artificial intelligence, Artificial intelligence applications

This publication has 17 references indexed in Scilit:

People Also Search

A Not-for-profit Organization, IEEE Is The World's Largest Technical Professional

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. Corresponding author a.hamed@sanoscience.org Corresponding author xwu@zhejianglab.com This is an open access article under ...

Here, We Share Our Perspective On The Necessity Of Implementing

Here, we share our perspective on the necessity of implementing effective detection, verification, and explainability mechanisms to counteract the potential harms arising from the proliferation of AI-generated inauthentic content and science. We recognize the transformative potential of generative AI, exemplified by ChatGPT, in the scientific landscape. However, we also emphasize the urgency of ad...

This Publication Has 17 References Indexed In Scilit:

This publication has 17 references indexed in Scilit: