4.7 (6)
7 Weeks
·Cohort-based Course
A transformative course for designers creating the new architecture of human-AI relationships in an era where trust determines adoption.
4.7 (6)
7 Weeks
·Cohort-based Course
A transformative course for designers creating the new architecture of human-AI relationships in an era where trust determines adoption.
Previously at
Course overview
Observe someone interacting with an AI system and you'll notice that moment—understated yet profound—when they hesitate before accepting a recommendation. This pause represents the most valuable element in human-AI interaction: a trust assessment occurring in real time.
The New Design Discipline
We stand at an inflection point in design. For decades, we've created static interfaces navigated in predictable patterns. AI fundamentally disrupts this paradigm. We're no longer designing experiences to be consumed but collaborations to be nurtured—a relationship between two learning systems in continuous evolution.
The quality of this collaboration depends entirely on trust. Without it, people restrict their engagement and maintain a vigilance that prevents true partnership. With trust, they explore possibilities that allow both human and AI to achieve outcomes neither could reach alone.
The most profound AI experiences are:
✅ Not merely usable—but trustworthy
✅ Not simply efficient—but meaningfully collaborative
✅ Not just beautiful in form—but thoughtful in relationship
This evolution demands a fundamental re-conception of what design means when interfaces become relationships and experiences become collaborations.
Dual Learning Needs : Designers need to learn to adapt their skills and ways of working to be AI-enhanced, at the same time, their customers need them to learn to design AI they can trust.
A Considered Approach
This seven-week journey transforms your practice through three carefully crafted movements:
1. Understanding Collaboration Architecture
- How trust forms between humans and intelligent systems
- The quiet signals that build confidence
- The critical moments where relationships deepen or withdraw
2. Crafting Trust Through Design
- Designing relationships rather than just interfaces
- Creating interactions that build rather than diminish trust
-Developing patterns that communicate reliability and intention
3. Evolving with Intelligence
- Designing for systems that learn and adapt
- Creating experiences that mature meaningfully over time
- Building relationships that grow stronger through challenge
For Thoughtful Practitioners
Designed for designers who sense that conventional approaches are insufficient—who recognise that something profound is happening in the relationship between humans and technology.
Whether you're currently:
- A UX designer crafting interfaces
- A service designer orchestrating journeys
- A researcher understanding human behaviour
What unites our participants is their recognition that AI design requires something more nuanced than traditional practice.
The Essential Outcomes
Participants emerge with:
1. A considered philosophy for human-AI collaboration
2. A refined sensitivity to the signals that build or diminish trust
3. A disciplined approach to designing evolving relationships
4. A thoughtful portfolio demonstrating these principles in practice
5. Most importantly, they join a community of practitioners defining this emerging discipline—professionals who understand that the most valuable AI systems won't be those with impressive technical specifications, but those designed with profound understanding of human trust dynamics.
A Limited Experience
Limited to fifteen participants per cohort
Focused on meaningful exchange and personal attention
A deliberate practice developed through engagement with fellow designers
"The future of design isn't in making things look good or even work well. It's in creating the conditions for meaningful collaboration between humans and the intelligent systems we're bringing into the world. This is the work that matters now."
01
UX / Product / Service Designers
Move beyond interfaces to design meaningful collaboration between humans and AI based on trust.
02
DesignOps & ResearchOps Develop frameworks that reveal the invisible qualities of trust & transform how teams evaluate collaborative systems
03
Product Managers / Leaders
Drive adoption & retention by creating AI systems that users trust and want to use.
The Foundation of Collaboration
Develop a nuanced understanding of AI capabilities and limitations. Master the art of prompting, validation, and feedback that forms the basis of meaningful collaboration.
No technical background required.
Designing for Trust
Explore the subtle signals and interactions that create confidence in AI systems. Learn to design experiences that build trust through transparency, competence, and appropriate agency.
Ethical & Responsible AI
Create systems with integrity at their core. Develop approaches to identify and mitigate biases while establishing thoughtful privacy safeguards that respect human dignity and agency.
Learning from Failure - Real World Case Studies - when AI has gone wrong
Examine real-world case studies where AI implementation faltered, revealing the patterns of breakdown and recovery. Workshop with peers to develop resilient approaches to inevitable challenges.
Enhanced Work Practices - More productive & better outcomes
Transform routine aspects of your work through thoughtful AI integration. Develop workflows that automate the mundane while preserving space for human creativity and strategic thinking.
New Patterns of Collaboration
Move beyond existing frameworks to design entirely new ways of working with AI. Learn to integrate these systems into your practice without sacrificing the essence of what makes your work meaningful.
Live sessions
Learn directly from Riley Coleman in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Human-Centred Trustworthy AI : Designing Systems People Trust
14 live sessions • 48 lessons • 11 projects
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4.7 (6 ratings)
Product Design Leader & AI Implementation Strategist
Your Human-Centered AI Guide
Riley is a Design Leader with over 15 years of experience helping companies integrate AI responsibly in 5 AI products.
Industry Credentials: Led AI-driven design initiatives at Telstra, Building Design Teams in Australia, Germany and Sweden and trained hundreds of professionals worldwide.
Why I Teach: We are at the start of a new time in human history. I believe AI can benefit humanity in extraordinary ways - but only if we build trustworthy AI systems that help us thrive, not replace us.
My mission is to empower designers, researchers, and product leaders to confidently shape AI-driven products that truly serve users.
Have questions? Drop a message I am here to help and fellow mentors are here to guide you.
Career Highlights
Riley led the service design of a program that won awards from both International Red Cross & United Nations.
Join an upcoming cohort
June & July 25
$950
Dates
Payment Deadline
Max 3 hours per week
Weekly Time Commitment
3 hours per week
Learning contact time 1 hour self paced lessons + 1.5 hours weekly live session + community engagement.
You'll be given practical exercises & micro-habits to apply learnings directly to your AI use in your daily work.
Weekly LIve Ethics Lesson
90 minute sessions where we unpack 1 ethical principle in depth and have peer to peer conversation.
Optional Office Hours
Once a week, drop in to get personalized feedback, troubleshoot AI challenges, or explore deeper niche topics.
Flexible Support
Busy schedule? All sessions are recorded, and our community platform lets you ask questions anytime.
Series of Human-Centred Trustworthy AI Principles
Ethics are invisible, ambiguous and rarely discussed
So how are you meant to implement ethics into AI products & services?
Every factsheet has:
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Join an upcoming cohort
June & July 25
$950
Dates
Payment Deadline