A team of researchers at the University of Pennsylvania School of Engineering and Applied Science is seeking to empower tech users to mitigate risks of AI generated misinformation. In a peer-reviewed paper presented at the February 2023 meeting of the Association for the Advancement of Artificial Intelligence, the authors demonstrate that people can learn to spot the difference between machine-generated and human-written text.
Research Highlights: Real or Fake Text? We Can Learn to Spot the Difference
March 16, 2023 by Leave a Comment
How Can Big Data and AI help to Tackle Fake News and Mis(Dis)information
May 13, 2021 by Leave a Comment
In this contributed article, Dr. Anil Bandhakavi, Head of Data Science for Logically, discusses how humans and AI are both equally responsible for the problem of misinformation. To solve it, we need to change human behavior to suit our new roles as big-information consumers. We need to realize the importance of information authenticity along with our information needs. This is a gradual process but until then, AI can lessen the risks and act as a catalyst for change.
