Rosenverse

Log in or create a free Rosenverse account to watch this video.

Log in Create free account

100s of community videos are available to free members. Conference talks are generally available to Gold members.

Designing with and for Artificial Intelligence
Thursday, August 11, 2022 • Enterprise Community

This video is featured in the Josh's test playlist playlist.

Share the love for this talk
Designing with and for Artificial Intelligence
Speakers: Daniel J. Rosenberg
Link:

Summary

Rapid advances in Artificial Intelligence and machine learning are transforming the world in many ways. For the product designer or design strategy practitioner this megatrend manifests itself in 2 orthogonal dimensions: AI as a product design material – AI enables solutions that are smarter, faster and can answer questions well beyond human capability alone, but you must deploy them effectively and responsibly to be successful. AI designing the product for you – AI generation of competent oil paintings and music based solely on a set of input requirements has been repeatedly demonstrated in the past decade. Emerging AIs can design entire digital user experiences, code them, and deploy to the cloud with one button click. While AI automation can provide huge benefits in both megatrend dimensions it carries spectacular risk when deployed within life and death systems such as autonomous vehicles and medical products. Concurrently, generative AI for product design carries significant liability risk plus the potential of employment disruption for creative and strategic job careers.

Key Insights

  • AI in UX splits into using AI as a design material versus AI augmenting or replacing designers in creative processes.

  • Soft AI, which uses structured data and domain rules, is more explainable and suitable for critical applications like genomics than hard AI.

  • Trust and perceived credibility in AI-driven medical systems depend heavily on both explainability and interface design quality.

  • The genomics AI case analyzes massive, changing DNA variant data impossible for humans alone to process in real time.

  • Ben Schneiderman’s classification of AI as super tools or teammates helps frame AI’s role in augmenting human work.

  • Clean Software’s AI builds entire UX workflows and code through semantic interaction models, speeding up app development for enterprises.

  • Generative AI UX designs face risks like sameness and depend heavily on accurate, high-quality input data to avoid creating useless outputs.

  • AI can accelerate UX exploration by generating multiple alternatives quickly, supporting iterative design and decision-making.

  • Accessibility and localization best practices can be baked into AI-generated UX code automatically.

  • Ethical and regulatory oversight become crucial when AI influences high-risk decisions like clinical diagnoses.

Notable Quotes

"If you don’t trust it, then there’s nothing here."

"The AI is looking through material and that material’s changing every day."

"Visual design quality actually affects perceived trustworthiness."

"You can’t evaluate bias if the AI can’t explain itself."

"Garbage in, garbage out—if the requirements are wrong, the AI will instantly create a useless UX."

"You don’t want to game anybody here. This is persuasion by evidence, not by trickery."

"The marketplace is going to decide if it’s close enough in cost-benefit tradeoff."

"AI-generated UX is not about replacing designers, but removing grunt work to focus on higher-order design."

"Human beings understand graphical user interfaces as composed of objects and actions—this grammar is key to AI design."

"The future was already here. It’s just not evenly distributed."

Ask the Rosenbot
Leisa Reichelt
Opening Keynote: Operating in Context
2018 • DesignOps Summit 2018
Gold
Kyria Stephens
Power to Heal: Civic Design in the Aftermath of Tragedy
2022 • Civic Design 2022
Gold
Jemma Ahmed
Theme Three Intro
2023 • Advancing Research 2023
Gold
Jacqui Frey
Scale is Social Work
2020 • DesignOps Community
Andrew Michael
Building a Product Insights Team
2022 • Advancing Research 2022
Gold
Onur Kocan
Understanding the Strategy for Civic Design in a Complex City: Istanbul
2022 • Civic Design 2022
Gold
Cennydd Bowles
Day 1 Panel
2024 • Designing with AI 2024
Gold
Megan Blocker
Day 2 Theme Panel
2025 • Advancing Research 2025
Gold
Dr. Jamika D. Burge
Theme 3 Intro
2022 • Advancing Research 2022
Gold
Sha Hwang
The First Fifty Years of Civic Design
2022 • Civic Design 2022
Gold
Maria Giudice
Empowering change: Reigniting purpose, passion and impact in research
2025 • Advancing Research 2025
Gold
Francesca Barrientos, PhD
You Need Your Own Definition of Design Maturity
2022 • Design at Scale 2022
Gold
Louis Rosenfeld
GenAI for UXers: A Rosenbot Demo and Discussion
2025 • Designing with AI 2025
Gold
Louis Rosenfeld
Welcome / Housekeeping
2023 • Enterprise UX 2023
Gold
Neema Mahdavi
Operationalizing DesignOps
2018 • DesignOps Summit 2018
Gold
Andreas Huebner
What Is It Like To Be Part of The UX Team at Compass?
2021 • Advancing Research 2021
Gold

More Videos

John Calhoun

"Design ops is a flexible and adaptable practice, meaning our goals and outcomes are usually more fluid than stable."

John Calhoun Rachel Posman

Meters, Miles, and Madness: New Frameworks to Measure the (Elusive) Value of DesignOps

September 24, 2024

Meredith Black

"When we first started, we didn’t know what the hell we were doing and learned from each other."

Meredith Black Elyse Hornbacher

Building Community and Common Trends to Look for in 2021

December 17, 2020

Savannah Carlin

"It’s really important to be clear and transparent about what the tool is good at and what it’s not good at."

Savannah Carlin

Don't botch the bot: Designing interactions for AI

June 4, 2024

Roberta Dombrowski

"If you're not doing recruitment in-house and have to outsource three different agencies, managing timelines becomes a nightmare."

Roberta Dombrowski Lianna Aduana

5 Reasons to Bring your Recruiting in House

September 30, 2021

Liwei Dai

"We need to be genuinely curious not just about our customers, but also about our colleagues and the technology behind AI."

Liwei Dai

The Heart and Brain of the AI Research

March 31, 2020

Sarah Flamion

"Our big idea was big and they wanted it, but what they wanted way more was the foundational features."

Sarah Flamion

Complex Problem? Add Clarity by Combining Research and Systems Thinking

March 31, 2020

Ash Brown

"We're at a pivotal moment where technology can truly make a difference in sustainability."

Ash Brown

Silver Linings: What DesignOps Learned in the Shift to WFH

October 23, 2020

Sheri Byrne-Haber

"Icons are not just decoration, they convey information and must meet WCAG color and size guidelines to be usable."

Sheri Byrne-Haber

The Importance of Accessible Design Systems

January 8, 2024

Malini Rao

"No two re-platforming journeys are exactly the same, and there isn't one single formula that works every time."

Malini Rao

Lessons Learned from a 4-year Product Re-platforming Journey

June 9, 2021