User-Centric Design + AI: Craft meaningful interactions

User Experience (UX) in AI Systems: Crafting Clear User Journeys and Interactions within AI-Driven Systems

As artificial intelligence permeates an ever-wider array of products and services, the importance of intuitive and effective user experience (UX) becomes paramount. This lecture delves into the unique challenges and opportunities of designing UX for AI-driven systems. We will move beyond traditional UX principles to explore how to craft clear, predictable, and delightful user journeys when the underlying system can learn, adapt, and even generate its own responses.

Participants will learn how to:

Understand the AI Black Box: Grapple with the inherent opacities of AI and develop strategies to build user trust and transparency even when the system's internal workings are complex.

Design for Adaptability and Learning: Explore how to create user interfaces and interactions that gracefully accommodate AI's evolving capabilities and potential for unexpected outputs.

Mitigate AI's Pitfalls: Identify common UX challenges in AI, such as managing user expectations, addressing biases, handling errors, and designing for explainability.

Craft Seamless AI-Human Collaboration: Learn techniques for designing effective handoffs between human and AI agents, enabling users to understand when and how the AI is assisting them.

Develop Context-Aware Interactions: Discover methods for leveraging AI's ability to understand context to create more personalized, proactive, and relevant user experiences.

Measure and Iterate UX in AI: Explore metrics and methodologies for evaluating the effectiveness of UX in AI systems, from qualitative user research to quantitative performance indicators.

Through case studies and practical examples, this lecture will equip designers, product managers, and developers with the essential knowledge and tools to create truly user-centric AI experiences that are not only intelligent but also intuitive, ethical, and engaging.

Welcome aboard!