Climate Implications of Diffusion-based Generative Visual AI Systems and their Mass Adoption
Climate implications of rapidly developing digital technologies, such as blockchains and the associated crypto mining and NFT minting, have been well documented and their massive GPU energy use...
Exploring Augmentation and Cognitive Strategies for AI based Synthetic Personae
Large language models (LLMs) hold potential for innovative HCI research, including the creation of synthetic personae. However, their black-box nature and propensity for hallucinations pose...
Cognitively-Inspired Episodic Memory Architectures for Accurate and Efficient Character AI
Large language models show promise for embodying historical characters in dialogue systems, but existing approaches face a critical trade-off: simple retrieval-augmented generation produces...
Study of detecting behavioral signatures within DeepFake videos
There is strong interest in the generation of synthetic video imagery of people talking for various purposes, including entertainment, communication, training, and advertisement. With the...
Empathic AI Painter: A Computational Creativity System with Embodied Conversational Interaction
There is a growing recognition that artists use valuable ways to understand and work with cognitive and perceptual mechanisms to convey desired experiences and narrative in their created artworks...
Informing Artificial Intelligence Generative Techniques using Cognitive Theories of Human Creativity
The common view that our creativity is what makes us uniquely human suggests that incorporating research on human creativity into generative deep learning techniques might be a fruitful avenue for...
Using an AI creativity system to explore how aesthetic experiences are processed along the brains perceptual neural pathways
With the increased sophistication of AI techniques, the application of these systems has been expanding to ever newer fields. Increasingly, these systems are being used in modeling of human...
Deep Convolutional Networks as Models of Generalization and Blending Within Visual Creativity
We examine two recent artificial intelligence (AI) based deep learning algorithms for visual blending in convolutional neural networks (Mordvintsev et al. 2015, Gatys et al. 2015). To investigate...
How Did Humans Become So Creative? A Computational Approach
This paper summarizes efforts to computationally model two transitions in the evolution of human creativity: its origins about two million years ago, and the 'big bang' of creativity about 50,000...
Incorporating characteristics of human creativity into an evolutionary art algorithm
A perceived limitation of evolutionary art and design algorithms is that they rely on human intervention; the artist selects the most aesthetically pleasing variants of one generation to produce...