Integrating Research, Design, and Data for Better AI Product Development

Traditionally when it comes to discovery research, qualitative methods such as ethnographic interviews, observation, contextual inquiries have served researchers well in this generative and exploratory phase. But when it comes to artificial intelligence product development it’s essential to integrate data science into this human-centered process. In this workshop, attendees will learn when, how, and where to integrate data science into the exploratory research process to have better and more ethical AI product development outcomes. With a combination of lecture, case study examples, and exercises, attendees will leave this workshop with a clear understanding of why making data a stakeholder in user research will create a more ethical and human-centered AI product. This workshop is created especially for researchers who understand the need to mix ethnography and data science but just don’t know quite how to do it.

What you’ll learn

  • How to integrate data into research planning to help identify and reduce bias
  • How to integrate data science into synthesis to help illuminate system solutions
  • How to integrate data science into insight and design principle generation
  • How to align qualitative data and behavioral data to develop deeper design insights

Who should attend

This workshop is open to anyone who understands how research is implemented into the product development process.

Ovetta Sampson
Principal Creative Director, Microsoft
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