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Friday, September 24 • 9:15am - 10:00am
Navigating the Complexity of Trust

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Trust is complex and transient. Context, safety, privacy, respect, and many other considerations are built into each individuals’ concept of trust. How can we examine this complexity in a way that supports the work of making digital experiences? What research supports this work and how can we use practices of responsible development to make systems that earn appropriate levels of trust? What is an appropriate level of trust for emerging technologies such as machine learning systems? This talk will examine trust and how UX practitioners can define and measure it.
Speakers
avatar for Carol Smith

Carol Smith

Sr. Research Scientist, Human-Machine Interaction, Carnegie Mellon University's SEI
Carol Smith’s UX career spans 20 years, collaborating on complex problems and working across industries and platforms. She has worked on improving interactions and integrating ethics for humane experiences with artificially intelligent systems, autonomous vehicles, and other emerging... Read More →

Friday September 24, 2021 9:15am - 10:00am EDT
1 - Back Bay A/B (Research)
  Research

Attendees (7)