Teaching AI to understand the importance of timeliness could lead to better prediction models.
A pair of researchers from the University of Innsbruck in Austria have developed a method to determine how well an artificial intelligence (AI) system is at understanding ‘temporal validity,’ a benchmark that could have significant implications for the use generative AI products such as ChatGPT in the fintech sector.
Temporal validity refers to how relevant a given statement is to another statement over time. Essentially, it refers to the time-based value of paired statements. An AI being evaluated on its ability to predict temporal validity would be given a set of statements and asked to choose the one most closely related through time.
In their recently published pre-print research paper titled “Temporal Validity Change Prediction,” Georg Wenzel and Adam Jatowt use the example of a statement wherein a person is declared to be reading a book on a bus.
