Insights Unlocked How UX Research for AI and machine learning (ML) is different from UX Research for design
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Mar 18, 2024 Dawn Procopio, founder of AI-Ethicist.com, shares her expertise as a veteran UX researcher with a background at Siemens, Meta, and Amazon Web Services. She discusses the unique challenges of UX research in AI and machine learning, contrasting it with traditional design approaches. The conversation highlights the critical intersection of ethics and UX, particularly in healthcare. Dawn emphasizes the importance of understanding user perceptions and aligning AI outputs with human needs to create effective and ethical technology.
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Center Users in Model Selection
- UX research should inform AI/ML model creation and deployment.
- Understand human needs before investing in specific model types like clustering or regression.
Problem Types as Solutions
- Problem types in machine learning represent solutions, not user problems.
- Understanding these types (classification, regression, clustering) is crucial for aligning models with user needs.
Participatory Design for Movie Recommendations
- Dawn Procopio conducted a study using participatory design to inform a movie recommendation model.
- By simulating a customer interaction, she gathered data to shape the model's decision-making process.