Design Patterns For Building User’s Trust (https://lnkd.in/eEJngtVv), a fantastic (!) catalog of design patterns to help teams design trustworthy services that work for people — with advantages, drawbacks, limitations and examples for each, from AI to privacy. A wonderful repository, neatly put together by fine folks at IF.
In the noisy and polluted world today, trust doesn’t come for free. It doesn’t emerge by default. It must be earned and meticulously preserved — by treating customers with respect, securing their data, respecting their privacy and asking only for what’s absolutely necessary.
Also worth exploring:
AI Interaction Design Patterns, by Emily Campbell
https://www.shapeof.ai
AI × Design Toolkit (Worksheets + PDF), by Nadia Piet
https://lnkd.in/eJEkCu2p
People + AI Guidebook and Design Patterns, by Google
https://lnkd.in/em_pXYe2
Human-AI Interaction Guidelines, by Microsoft
https://lnkd.in/g_Nsrrxq
Responsible and Ethical AI Practices, by Microsoft
https://lnkd.in/ekQsw_9u
AI-Driven Design (free eBook, PDF), by Joël van Bodegraven
Chapter 1: https://lnkd.in/eChHVQ7u
All chapters: https://lnkd.in/eNUif6cd
AI + Design Toolkit (Miro), by Corinne Schillizzi
https://lnkd.in/ebZSv47s
Design Guidelines for AI, by IBM
https://lnkd.in/eH39gXrq
AI Conversational Cookbook (PDF), by Thomas W.
Article: https://lnkd.in/ec_GvKPp
PDF: https://lnkd.in/exC2z-ju
Privacy UX: Design Patterns and Guidelines, by Vitaly Friedman
https://lnkd.in/dN8yce2
AI Design Patterns and UX Toolkits, by Vitaly Friedman
https://lnkd.in/eCEXVvAG
The future isn’t chatbots. It’s far more exciting but also challenging. It’s full of ethical and legal concerns, much-needed regulation and efforts to reduce the environmental impact of AI. And: we need to learn how to earn user’s trust with more respectful and better designed AI interfaces.
Vitaly Friedman on LinkedIn