AI in Design & Research: Navigating Transparency Challenges

This Expert Training Series event was originally held on 04.02.2025

AI is evolving at an unprecedented pace, raising fears about replacement and critical questions about transparency, authorship, and user trust. This discussion will explore the role of transparency in AI-driven UX, product design, and research, focusing on authorship, accountability, and the ethical implications of AI-powered tools. Attendees will gain insights into appropriate AI use, how transparency impacts perception, and the future of AI-driven creativity.

You’ll learn

• AI Tools & Use Cases: Which tools and tasks you can approach with confidence—and where to tread carefully.

• Trust & Risk Management: How to build credibility while minimizing personal and professional risk.

• Trends & Challenges: What to watch for in AI-driven analysis and the risks of opaque decision-making.

• AI & UX Futures: Where AI is heading and how it may impact your UX-related work.

• AI Transparency in Practice: Why transparency matters in AI-powered design and research.

• Authorship & Attribution: When AI is an assistant vs. a creator, and why attribution matters.

• Human-Led vs. AI-Supported: Defining the boundaries of AI’s role in creative and analytical processes.

• Perception & Impact: How transparency (or lack thereof) changes how AI-generated work is received.

• Practical Applications: When AI use is ethical and effective in UX, product design, research, and content creation.