Cohort 1 

A transformative course for designers creating the new architecture of human-AI relationships in an era where trust determines adoption. 

Riley Coleman

Human-Centred Trustworthy AI :  Designing Systems People Trust 

Epidemic Sound

Paper Giant

Telstra

Australian Red Cross

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 DisciplineWe 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 ApproachThis 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 PractitionersDesigned 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 behaviourWhat unites our participants is their recognition that AI design requires something more nuanced than traditional practice. The Essential OutcomesParticipants emerge with:1. A considered philosophy for human-AI collaboration2. A refined sensitivity to the signals that build or diminish trust3. A disciplined approach to designing evolving relationships4. A thoughtful portfolio demonstrating these principles in practice5. 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 ExperienceLimited to fifteen participants per cohortFocused 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."

Lead with Trustworthy AI : Design, Innovate & Inspire 

UX / Product / Service DesignersMove beyond interfaces to design meaningful collaboration between humans and AI based on trust.

DesignOps &amp; ResearchOps Develop frameworks that reveal the invisible qualities of trust &amp; transform how teams evaluate collaborative systems

Product Managers / LeadersDrive adoption &amp; retention by creating AI systems that users trust and want to use.

For Those Shaping the Future of Human-Technology Relationships

What you’ll get out of this course

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.

The Foundation of Collaboration

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.

Designing for Trust

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.

Ethical & Responsible AI

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.

Learning from Failure - Real World Case Studies - when AI has gone wrong

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.

Enhanced Work Practices - More productive & better outcomes

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.

New Patterns of Collaboration

<ul><li>Intro to AI &amp; ML for non-technical roles</li><li>Understanding AI’s potential vs. limitations</li><li>Ethical imperatives and user trust</li></ul>

Week 1: Foundations of Human-Centered AI

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

Second Module

Third Module

Course syllabus

National Head of Experience Design and Strategy

What people are saying

Meet your instructor

Learning contact time 1 hour self paced lessons + 1.5 hours weekly live session + community engagement. You'll be given practical exercises &amp; micro-habits to apply learnings directly to your AI use in your daily work.

Weekly Time Commitment

Weekly LIve Ethics Lesson 90 minute sessions where we unpack 1 ethical principle in depth and have peer to peer conversation.

Once a week, drop in to get personalized feedback, troubleshoot AI challenges, or explore deeper niche topics.

Optional Office Hours

Busy schedule? All sessions are recorded, and our community platform lets you ask questions anytime.

Flexible Support

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

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