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
"Junior engineers often resent having to create OKRs that feel disconnected from their day-to-day work."
Bria Alexander Benson Low Natalya Pemberton Stephanie GoldthorpeOKRs—Helpful or Harmful?
January 20, 2022
"Adobe’s Kickbox is a fantastic professional development tool, but it doesn’t drive new lines of business."
Jeff GothelfInnovation Studios: the Engines of Enterprise Experimentation
May 14, 2015
"We ended up piloting a group in Tokyo for non-English speakers, which was key to testing the language challenge."
Wyatt HaymanGlobal Research Panels
August 8, 2020
"We balance AI speed with human depth to maximize value without sacrificing empathy or rigor."
Gillian Salerno-Rebic Mark MicheliFrom Insight to Impact: How JourneySpark Used WEVO Pulse + Pro to Drive a 50% Lift in Ad Engagement
June 11, 2025
"Digitizing doesn’t mean removing your frontline; frontline workers must be empowered to assist less digital citizens."
Yalenka Mariën Marie MervaillieDesigning for Digital Inclusion in the Belgian Government
December 8, 2021
"We have to turn to our more humanistic traits in a landscape that focuses on efficiency and profit maximization."
Angelos ArnisNavigating the Rapid Shifts in Tech's Turbulent Terrain
October 2, 2023
"After four years we were able to see in a concrete way what happened, the changes that we have been able to do for the organization."
Benjamin RealMaturity Models: A Core Tool for Creating a DesignOps Strategy
October 1, 2021
"Meeting stakeholders where they are means using language and concepts they understand, not just tech jargon."
Magdalena ZadaraZero Hour: How to Get Far Quickly When Starting Your Digital Service Unit Late
November 16, 2022
"Don’t get stuck in the refinement stage too early."
Billy CarlsonIdeation tips for Product Managers
December 6, 2022
