AI is Your New Design Material
summary
Examples and testable lessons: a $700 internet-connected juicer that only squeezes packets $700 internet juicer; Slack’s ML that ranks people as experts; Google QuickDraw and a sketch-to-Sketch/HTML tool that turns hand wireframes into editable markup; a radiology triage system that surfaces cases so doctors see fewer normal scans and a model that flags schizophrenia detected two years early; cloud APIs (Azure, AWS, Google) that return probabilities so defaults matter — e.g. 80% vs 95% confidence for face matches.
AI-written summary · about
chapters (17)
- 0:00Start
- 6:24MACHINE LEARNING IS A DESIGN MATERIAL
- 8:55WHY TEAM UP WITH MACHINE LEARNING?
- 9:105 APPLICATIONS 4 QUESTIONS
- 12:12GET COZY WITH CASUAL USES OF MACHINE LEARNING
- 23:42FOCUS ATTENTION AND JUDGMENT
- 25:36UNLOCK NEW SOURCES OF DATA
- 26:09SURFACE INVISIBLE PATTERNS
- 27:08WHAT IS THE SWEET SPOT OF MACHINE LEARNING?
- 32:33OUR JOB IS TO SET EXPECTATIONS AND CHANNEL BEHAVIOR
- 45:13YOU PROBABLY SHOULDN'T DO IT
- 45:23WHAT IS THE SYSTEM OPTIMIZED FOR?
- 46:15MACHINE LEARNING IS PROBABLISTIC
- 52:28THE MACHINES REINFORCE
- 53:57SURFACING BIAS ALLOWS US TO ACT ON IT
- 55:15three: how does it change us? HOW WILL VALUES AND BEHAVIORS SHIFT?
- 57:22THIS IS A TIME FOR WILD IDEAS
related talks
39mAI is everywhere!
54mAI: Actual Intelligence
52mThe New Design Material
35mRedefining digital experience with AI driven products
25mArtificial intelligence & design: imagining the future of UX
27mAI as a Service Scaling AI with Ease and Innovation
36mAI for human and the planet: AI in nutrition
31mAI & UX: Designing the Future of Human Interaction