Responsible UX Design for AI

Name: Responsible UX Design for AI
Rating: 3.9 (9 reviews)

AI UX Design: Master Human-Centered AI Using Cutting-Edge Tools, Methodologies & UX Best Practices

Created byDeepashri Barve

Last updated 6/2025

English

What you'll learn

UX Design For AI
UX Design using AI Tools
UX Design to build Human and AI partnership
UX Design for Explainable AI

Course content

4 sections • 12 lectures • 1h 59m total length

Introduction : Responsible UX Design for AI4:33
Welcome to Responsible UX Design for AI, where you’ll explore both Designing for AI (creating AI-driven systems) and Designing with AI (leveraging AI to enhance UX design workflows).
This course equips you with:
UX methodologies for designing AI Systems
Evaluation techniques to assess AI-driven user experiences
Risk analysis methods to identify and mitigate AI biases
AI tools & prompt engineering to enhance UX design efficiency
By the end of this course, you’ll not only understand how to craft intelligent interactive experiences but also how to use AI as your creative sidekick in UX design.

Human + AI Partnership Challenges8:46
As AI systems become more advanced, designing for effective Human-AI collaboration comes with unique challenges. A well-balanced partnership requires thoughtful design considerations to ensure AI enhances human decision-making rather than replacing or misleading users.
In this module, we will explore key challenges in the Human-AI partnership, including:
? Control vs. Automation – Finding the right balance between human oversight and AI autonomy to avoid over-reliance or frustration.
? User Agency & Trust – Ensuring users feel in control of AI decisions while leveraging AI’s capabilities without unnecessary friction.
? Governance & Ethical Responsibility – Addressing bias, accountability, and compliance in AI-driven decision-making.
? Understanding & Interpretation – Overcoming the "black-box" effect of AI, making AI-driven decisions more explainable and interpretable for end users.
? Why It Matters:
A well-designed Human-AI partnership empowers users, improves efficiency, and builds trust in AI-powered systems. Understanding these challenges will help UX designers create intuitive, transparent, and ethical AI experiences.
Guide : Triptech method | Probelm statement Abstraction | Reframing Workshop6:03
Building the Right Thing : Problem statement Abstraction and Concept Evaluation17:11
BRT: Automation Evaluation10:50
Building the Thing Right : UX Guidelines and Patterns with Examples6:54
Data Visualization9:19
Usability Testing by Simulating Intelligence7:49
Risk Analysis for AI Systems6:19
Human AI Partnership Risks5:29

Requirements

None! This course is designed for everyone—whether you're new to AI-driven UX or an experienced designer looking to refine your skills. You'll learn how to design for AI systems and explore various AI tools that can act as your creative sidekick

Description

What will you learn ?

UX for AI :

Students will learn How to understand latent needs, innovate using Industry 4.0 technologies using problem abstraction and reframing workshops to make the problem statement more inclusive and general.

Students will learn AI and Human partnership challenges, System-centric and User-centric evaluation and Risk Analysis.

Mixed-Initiative Interfaces:

The principles of Human AI Collaboration will be a focus area, ensuring an optimal balance between automation and user control. This involves understanding how to design interfaces that enhance user agency while leveraging AI Capabilities.

AI-Powered Data Visualisation:

Participants will gain insights into using various visualization techniques like parallel coordinates, Radar Charts and Box Plots to make AI-driven insights more understandable and actionable.

AI in Usability Testing & Risk Analysis:

This course covers different User testing methods for testing AI solutions.

Wizard OZ
KLM - GOMES
Teachable model
Computational Methods - Such as oracle

The Course will cover methods to automate the research process, Analyse the impact of AI on usability and ensure that AI implementations are ethical and user-friendly.

Who should take this course?

There are no prerequisites as such. UX Designers, UI Designers, UX Researchers, Product Designers and Managers, AI & Data Enthusiasts and Anyone Curious about AI in UX

Who this course is for:

UX/UI Designers & Researchers – Looking to adapt their skills for AI-driven systems and advocate for responsible AI design.
Product Designers & Managers – Wanting to integrate ethical and user-centered AI into their products.
AI & ML Enthusiasts – Keen on understanding how UX design plays a crucial role in shaping AI interactions.
Developers & Engineers – Interested in learning UX principles to create more intuitive and human-friendly AI systems.
Anyone Curious About AI & UX – No prior experience needed—this course will help you navigate the future of AI-driven design!

Responsible UX Design for AI

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 5min

Basics of AI1 lecture • 9min

UX for AI9 lectures • 1hr 19min

UX With AI - Work Smarter with AI Tools1 lecture • 28min

Requirements

Description

Who this course is for: