From the 1 of 4 linked papers with an AI index.
12 citations · 12 across the 1 of their papers we have counts for
4 papers
Empirical evidence of Large Language Model's influence on human spoken communication
Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7
The paper shows that words frequently generated by ChatGPT have rapidly increased in unscripted human speech, and a controlled experiment confirms that brief interactions with a ch…
Discovering Intersectional Bias via Directional Alignment in Face Recognition Embeddings
Ignacio Serna
Modern face recognition models embed identities on a unit hypersphere, where identity variation forms tight clusters. Conversely, shared semantic attributes can often be effectivel…
Cultural Alien Sampler: Open-ended art generation balancing originality and coherence
Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann +6
In open-ended domains like art, autonomous agents must generate ideas that are both original and internally coherent, yet current Large Language Models (LLMs) either default to fam…
A Rapid Test for Accuracy and Bias of Face Recognition Technology
Manuel Knott, Ignacio Serna, Ethan Mann +1
Measuring the accuracy of face recognition (FR) systems is essential for improving performance and ensuring responsible use. Accuracy is typically estimated using large annotated d…