The paper "Design Principles for Generative AI Applications" presents six foundational principles and 24 actionable strategies to guide designers in creating effective, user-centered generative AI applications. By reinterpreting challenges in existing AI systems and identifying unique aspects of generative AI, the authors provide a comprehensive framework for building responsible, trustworthy, and collaborative AI experiences.

The principles include: designing responsibly to mitigate potential harms, fostering user understanding through mental models, calibrating appropriate trust, managing generative variability, enabling co-creation, and embracing imperfection. Developed through extensive literature review, feedback from design practitioners, and real-world validation, these principles outline both the opportunities and challenges in implementing human-centered generative AI systems. The paper further discusses the application of these principles within the authors' organization, alongside reflections on future directions for design in generative AI.

Link: https://arxiv.org/abs/2401.14484