Human-Centred Trustworthy AI : Designing Systems People Trust

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

Epidemic Sound
Paper Giant
Telstra
AIA
Australian Red Cross

Course overview

Lead with Trustworthy AI : Design, Innovate & Inspire

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."

For Those Shaping the Future of Human-Technology Relationships

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.

What you’ll get out of this course

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.

What’s included

Riley Coleman

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.

Course syllabus

14 live sessions • 48 lessons • 11 projects

Week 1

Jun 23—Jun 29

    Week 1: Foundations of Human-AI Collaboration

    6 items

    Jun

    24

    Live Session 1 : Kick Off & Intro to Course

    Tue 6/245:00 AM—6:00 AM (UTC)

    📚 Before THURSDAY - Pre-Live Workshop Homework

    2 items

    Jun

    26

    Live Ethics Workshop The role of Human Agency in AI Experiences

    Thu 6/265:00 AM—6:30 AM (UTC)

Week 2

Jun 30—Jul 6

    Week 2 : Trust-Centred Design Fundamentals

    5 items

    Jul

    1

    Live Office Hour : AI Help & support

    Tue 7/15:00 AM—6:00 AM (UTC)
    Optional

    📚BEFORE Thursdays -Live Workshop Homework

    3 items

    Jul

    3

    Live Ethics Workshop: Applying FAIRNESS principles to trust design scenarios

    Thu 7/35:00 AM—6:30 AM (UTC)

Week 3

Jul 7—Jul 13

    Week 3 : Transparency UI Components I

    4 items

    Jul

    8

    Live Office Hour : AI Help & support

    Tue 7/85:00 AM—6:00 AM (UTC)
    Optional

    📚 Before THURSDAY - Pre-Live Workshop Homework

    3 items

    Jul

    10

    Live Ethics Workshop: Applying TRANSPARENCY principle to design system

    Thu 7/105:00 AM—6:30 AM (UTC)

Week 4

Jul 14—Jul 20

    Week 4 : Transparency UI Components II

    5 items

    Jul

    15

    Live Office Hour : AI Help & support

    Tue 7/155:00 AM—6:00 AM (UTC)

    📚 Before THURSDAY - Pre-Live Workshop Homework

    3 items

    Jul

    17

    Live Ethics Workshop: Applying PRIVACY preserving transparency design patterns

    Thu 7/175:00 AM—6:30 AM (UTC)

Week 5

Jul 21—Jul 27

    Week 5: Control & Feedback Systems

    4 items

    Jul

    22

    Live Office Hour : AI Help & support

    Tue 7/225:00 AM—6:00 AM (UTC)
    Optional

    📚 Before THURSDAY - Pre-Live Workshop Homework

    3 items

    Jul

    24

    Live Ethics Workshop: Building ACCOUNTABILITY into AI control systems

    Thu 7/245:00 AM—6:30 AM (UTC)

Week 6

Jul 28—Aug 3

    Week 6: AI-Specific UX Testing Methodologies

    5 items

    Jul

    29

    Live Office Hour : AI Help & support

    Tue 7/295:00 AM—6:00 AM (UTC)
    Optional

    Jul

    31

    Live Workshop: Vibe coding for new collaborative UX testing prototcol

    Thu 7/315:00 AM—6:30 AM (UTC)

Week 7

Aug 4—Aug 9

    Week 7: Integration & Implementation

    4 items

    Aug

    5

    Live Office Hour : AI Help & support

    Tue 8/55:00 AM—6:00 AM (UTC)
    Optional

    Aug

    7

    Final project Design Review : Presenting your Trust Journey & Trustworthy AI design system

    Thu 8/75:00 AM—6:30 AM (UTC)

Bonus

    Bonus AI Literacy : AI Tools & Techniques

    3 items

    Bonus AI Literacy : Improve your 2-way Communication with AI

    3 items

    Bonus AI Literacy : Leveraging the power of AI's Collective Intelligence

    4 items

    BONUS LESSON : Create your own Custom Writing Assistant with CustomGPT

    1 item

    BONUS LESSON : Create your personalised AI Adoption Blueprint

    1 item

4.7 (6 ratings)

What students are saying

Meet your instructor

Riley Coleman

Riley Coleman

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.



A pattern of wavy dots

Join an upcoming cohort

Human-Centred Trustworthy AI : Designing Systems People Trust

June & July 25

$950

Dates

June 22—Aug 9, 2025

Payment Deadline

June 22, 2025
Get reimbursed

Course schedule

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.

Free resource

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:


  • Clear Explanation of what the principle means in practice
  • Implementation Checklist for your and your team
  • Key Metrics to Track
  • Role specific tips to implement this principle for you and your team

Get this free resource

Frequently Asked Questions

Stay in the loop for future cohort dates

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

Human-Centred Trustworthy AI : Designing Systems People Trust

June & July 25

$950

Dates

June 22—Aug 9, 2025

Payment Deadline

June 22, 2025
Get reimbursed

$950

4.7 (6)

·

7 Weeks