16 citations · 16 across the 5 of their papers we have counts for
6 papers
Spook the Machine: Gamified Exploration of Human Imagination of Machine Fear
Levin Brinkmann, Hiromu Yakura, Sonia Nicoletti +9
What happens when AI machines express fear? Do humans engage differently depending on how they express it? And what does it take to design for affective human-AI interaction? We pr…
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…
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…
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…
Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art
Alejandro Hernandez, Levin Brinkmann, Ignacio Serna +6
While AI models have demonstrated remarkable capabilities in constrained domains like game strategy, their potential for genuine creativity in open-ended domains like art remains d…
Empirical evidence of Large Language Model's influence on human spoken communication
Hiromu Yakura, Ezequiel Lopez-Lopez, Levin Brinkmann +7
From the printing press to social media, innovations in communication technology have repeatedly reshaped how ideas spread through human culture. Chatbots powered by generative art…