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Exploring the Lands Between: A Method for Finding Differences between AI-Decisions and Human Ratings through Generated Samples
Many important decisions in our everyday lives, such as authentication via biometric models, are made by Artificial Intelligence (AI) systems.
How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models
Deep generative models have the potential to fundamentally change the way we create high-fidelity digital content but are often hard to control.
GANSlider: How Users Control Generative Models for Images using Multiple Sliders with and without Feedforward Information
We found that more control dimensions (sliders) significantly increase task difficulty and user actions.
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests.
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