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 different forms of intelligence that learn and adapt with every experience.
The quality of this collaboration depends entirely on TRUST.
Without it, people restrict their engagement and maintain a vigilance that prevents true partnership.
This evolution demands a fundamental re-conception of what design means when interfaces become relationships and experiences become collaborations.
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 transformative course for designers creating the new architecture of human-AI relationships in an era where trust determines adoption.
How trust forms between humans and intelligent systems
The quiet signals that build confidence
The critical moments where relationships deepen or withdraw
Designing relationships rather than just interfaces
Creating interactions that build rather than diminish trust
Developing patterns that communicate reliability and intention
Designing for systems that learn and adapt
Creating experiences that mature meaningfully over time
Building relationships that grow stronger through challenge
Foundational AI Literacy for improved productivity
4 POWERFUL interaction models that rapidly improve quality of your AI interactions
Creativity leveraging multiple AI tools and creating effective Human+AI Workflows

Human-Centred Design Leader & AI Adoption Strategist

UX / Product / Service Designers
Move beyond interfaces to design meaningful collaboration between humans and AI based on trust.
DesignOps & ResearchOps Develop frameworks that reveal the invisible qualities of trust & transform how teams evaluate collaborative systems
Product Managers / Leaders
Drive adoption & retention by creating AI systems that users trust and want to use.

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.
49 lessons • 12 projects
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Learn the 6 foundational UX Principles that are counterproductive to designing for AI
Without trust, even the most sophisticated AI capabilities will remain under-utilised or rejected entirely.
Trust is a journey, that builds with time and the importance of micro interactions and microcopy.
Live sessions
2 hrs / week
AI Ethical Principles to Practice - Case Study & Applying To Real World Design Decisions and Workflows
Projects
1 hr / week
Applying learnings to practice (e.g Create your products AI Trust Journey Map, Create 3 Transparent AI Components)
Async content
1 hr / week
e-learning modules each week, Review Real world case study on AI that went wrong (Multimodal - Video or Podcast or Read)

Kate Scott

Chris Slattery

Katrin Heveus
Lucia
Gowri

Chi Ryan

AI Ethical Principle to Practice

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$950
AUD