AI Design for Good: Leading with Vision & Humanity in the Age of Intelligent Machines
summary
Claims include a patented generative-shopping MVP called vision match (tested qualitatively and quantitatively with Gen Z in three countries and launched to billions), an enterprise feature intelligent asks that lets admins toggle AI/manual and drives a 12% increase in average donation, and hard metrics about scale and cost: deepfake fraud attempts up 2,137% in three years and AI data centers consuming roughly 4% of US electricity, set to double.
AI-written summary · about
chapters (13)
- 0:00AI Design for Good intro
- 3:44Synthetic creativity in music
- 5:30Human-first design matters
- 7:43Future with human values
- 10:36Eight AI design principles
- 12:03Vision match at Google
- 16:41GoFundMe Pro intelligent asks
- 20:54Transparent explainable AI
- 23:00Speed versus purpose in AI
- 25:11Honoring utility in durable experiences
- 26:57AI governance new industries
- 29:08Human soul vs AI scale
- 31:41Call to action human-centered
related talks
25mArtificial intelligence & design: imagining the future of UX
25mHumanizing Technology: Ethics and Design in the Age of AI
33mAI for Good: Using Responsible AI to Drive Social Impact and Inclusion
42mUX+AI: Mastering the UX of AI-Powered Products
40mAI or the Metaverse - What should brands bet on?
20mHarnessing AI: Business Impact Beyond 2025
14mGen AI Unbound: Redefining Creativity and Product Design Approaches
39mAI Is Revolutionizing Developer Experience - Are You Ready?