Day 1 Panel
Summary
In this panel discussion, Lisa Welchman, Kenneth Bowles, and Dan Rosenberg delved into the evolving role of designers in the age of AI, emphasizing ethical responsibility and the societal impact of design decisions. Kenneth Bowles highlighted the dual nature of responsibility in design—both backward-looking accountability and forward-looking duty—calling for designers to consider not just users but broader social and environmental stakeholders. Dan Rosenberg raised concerns about the ‘faith in the black box’ of AI and the upstream governance needed to prevent harm. The panelists debated the risk of AI commoditizing design roles and disintermediating human judgment. Lisa urged designers to assert agency, understand business deeply, and resist passivity, arguing for bolder engagement with tech’s ethical trajectories. They stressed that human judgment and empathy remain irreplaceable, especially in complex fields like healthcare. The importance of collaboration across silos and anticipatory design to manage AI’s unpredictable error states was also discussed. The panel concluded with encouragement to designers to deepen tech literacy, engage in ethical mitigation early, and shape AI’s future rather than passively accept it.
Key Insights
-
•
Design responsibility extends beyond users to society, environment, and the profession itself, demanding broader ethical consideration.
-
•
AI introduces a risk of commoditizing design work, particularly routine interface tasks that AI can automate within 12 to 36 months.
-
•
Human judgment remains critical and must not be ceded to AI, especially for discriminatory decisions and ethical complexities.
-
•
Understanding and linking design work to business strategy and value is essential for designers to maintain influence at the C-suite level.
-
•
Designers have significant agency but must proactively engage with AI technologies to shape their trajectory rather than resist passively.
-
•
Cross-disciplinary collaboration, especially between designers and data scientists, is necessary but challenged by entrenched organizational silos.
-
•
Designers should anticipate and design for AI error states, recognizing generative AI’s infinite unpredictability.
-
•
Techno-determinism is a pervasive risk; designers must challenge the inevitability mindset by actively influencing AI's ethical direction now.
-
•
Empathy and the embodied human experience are unique human factors that AI may fake but cannot replicate authentically.
-
•
Elevating UX roles upstream into product strategy and business leadership can help protect against devaluation due to AI automation.
Notable Quotes
"Designers have obligations not just to users but also to society and our own profession."
"We often point fingers at the person making the most money from the mess that designers put through the system."
"Faith in the black box makes me uneasy; as designers, we must care about what happens behind the scenes."
"I don’t think any designers today would hand over judgmental decisions fully to AI."
"If you don’t understand business, you don’t deserve a seat at the C-suite table."
"People remember how you made them feel, and that’s something AI can fake but not truly replicate."
"The risk is that AI will cut designers out of decision making because it’s perceived as cheaper or faster."
"Middle management often blocks collaboration despite desires from people underneath to work together."
"We need to design for the many error states generative AI can produce, however unpredictable."
"Technology does not have a mind of its own; people with power set its trajectory and we can influence that."
Or choose a question:
More Videos
"Reddit recently fixed their upvote button so it announces toggle states, something many sites neglect."
Sam ProulxEverything You Ever Wanted to Know About Screen Readers
June 11, 2021
"If anything's going wrong on your end, please reach out to help-customer-desk-service in Slack for tech help."
Bria AlexanderOpening Remarks
November 17, 2022
"Keep your LinkedIn profile updated and compelling so you’re findable for passive job opportunities."
Corey Nelson Amy SanteeLayoffs
November 15, 2022
"Designing better enterprises means creating conditions for all parts to work together coherently, like gardening rather than blaming individual plants."
Milan GuentherA Shared Language for Co-Creating Ambitious Endeavours
June 6, 2023
"We’re starting to see the role of the central researcher shift more towards coaching than just doing research themselves."
Erin May Roberta Dombrowski Laura Oxenfeld Brooke HintonDistributed, Democratized, Decentralized: Finding a Research Model to Support Your Org
March 10, 2022
"If you falsely think you are having the same experience as a native user, you become afraid of accessibility and say it's impossible."
Sam ProulxUnderstanding Screen Readers on Mobile: How And Why to Learn from Native Users
June 6, 2023
"For many of our tech clients, there’s a demand not just to use AI but to transparently show how and why, to respond to internal scrutiny."
Mujtaba HameedThe new horizon of ethnography: using AI to unlock the full potential of in-person research
March 11, 2026
"Technology generates as many new problems as new solutions."
Ilana LipsettAnticipating Risk, Regulating Tech: A Playbook for Ethical Technology Governance
December 10, 2021
"You own the design system, which gives you the unique ability to integrate that accessibility thinking into all of your components."
Samuel ProulxFrom Standards to Innovation: Why Inclusive Design Wins
September 10, 2025
