Designing Transparency in Agentic AI Systems
Abstract
This paper explores how transparency can be intentionally designed into agentic AI systems, making AI decision-making processes more visible and understandable to users. We propose a framework for designing transparent interfaces that adapt to human needs rather than forcing humans to adapt to technology.
A few weeks ago, I was scrolling through research papers when I came across an interesting finding about transparency in AI systems.
More designers should be founders. They already have so many of the skills needed to be great—strong user empathy, a focus on solving problems, a high bar for quality, and taste. If you're a designer, what's preventing you from making the leap?
This research explores the fundamental challenges in creating transparent AI systems. We investigate how interfaces can be designed to facilitate better collaboration between humans and AI systems, focusing on creating experiences where technology adapts to people.
Our findings suggest several key principles:
- Designers are often fixated on visual beauty and perfection, which can distract from ruthless prioritization.
- Most designers don't have the desire to build. Early stage companies typically emphasize technical ability over design.
The importance of focusing on core user experience over aesthetics for an MVP cannot be overstated. Through our research, we aim to contribute to a future where AI systems are not just powerful, but also transparent, explainable, and aligned with human values and expectations.