Presentation
Designing for Artificial Intelligence in High-Risk Domains: A Case Study
SessionUX: Methods and Models
DescriptionArtificial intelligence is everywhere. From ambitious startups to the world's largest corporations, everyone is racing to embed AI into their products. Yet for all its promise, AI is still imperfect, prone to errors that can have serious consequences. So what happens when you try to integrate AI into a high-risk, highly regulated domain, where a single hallucination or mistake could cost millions in fines and penalties?
In this case study, we’ll dive into the real-world challenges of designing AI systems for sensitive environments like finance. We’ll explore how to apply user constraints, mitigate critical risks, and apply key design principles to ensure responsible, reliable AI integration.
In this case study, we’ll dive into the real-world challenges of designing AI systems for sensitive environments like finance. We’ll explore how to apply user constraints, mitigate critical risks, and apply key design principles to ensure responsible, reliable AI integration.
Contributor
Event Type
Industry/Practitioner Content
Lecture
UX Miniconference
TimeWednesday, October 15th2:10pm - 2:30pm CDT
LocationGrand E/F
User Experience
UX Mini-Conference