The recent high performance of ChatGPT on several standardized academic tests has thrust
the topic of artificial intelligence (AI) into the mainstream conversation about the future of …

This paper investigates the direct risks and harms associated with modern text-to-image
generative models, such as DALL-E and Midjourney, through a comprehensive literature …

Diffusion models currently dominate the field of data-driven image synthesis with their
unparalleled scaling to large datasets. In this paper we identify and rectify several causes for …

We argue that the theory and practice of diffusion-based generative models are currently
unnecessarily convoluted and seek to remedy the situation by presenting a design space …

As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …

Generative AI systems produce a range of risks. To ensure the safety of generative AI
systems, these risks must be evaluated. In this paper, we make two main contributions …

We present a holistic approach to building a robust and useful natural language
classification system for real-world content moderation. The success of such a system relies …

The primary axes of interest in image-generating diffusion models are image quality, the
amount of variation in the results, and how well the results align with a given condition, eg, a …

As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …

As increasingly powerful generative AI systems are developed, the release method greatly
varies. We propose a framework to assess six levels of access to generative AI systems: fully …