Latest / The Feed & The Thread / The Feed & The Thread - September 28, 2026
Transcript
- 0:00Before you automate a decision, name the person accountable for
- 0:03it. So who owns the outcome when the model gets it wrong? No one
- 0:06does, and that gap is why your users have zero recourse.
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- 0:25pocket.
- 0:32AI is moving faster than our ability to define who's
- 0:35responsible when it breaks. We have the tools, but we're
- 0:38missing the structure. Jeff Gothelf at his blog makes the
- 0:42case in "Before you automate a decision, name the person
- 0:45accountable for it": before you automate a decision, name the
- 0:48person accountable for it. HBR research shows that employees
- 0:51often conceal AI outputs because they lack the authority to
- 0:55defend them. This creates a gap where everyone feels they're
- 0:58doing their job, yet no one owns the outcome. Leaders must
- 1:01identify a specific individual who bears the consequences
- 1:05before the system goes live. Pavel Samsonov at Product Picnic
- 1:08argues in "LLMs are just normal technology. But tech is just a
- 1:11normal medium." that LLMs are just normal technology. The
- 1:15current boom inverts human- centered design by seeking
- 1:18solutions before defining problems. Citing Joseph
- 1:20Weizenbaum, he notes that computers were always "solutions
- 1:24looking for a problem," and chatbots have amplified this
- 1:27trap. We're building functional prototypes without addressing
- 1:30the underlying value. Patrick Neeman at UX Design.cc raises a
- 1:34critical question in "How we save entry-level UX work that
- 1:37teaches craft in the time of AI. Our field depends on this."
- 1:40about saving entry-level UX work. AI is eroding the tasks
- 1:43that teach core craft, like transcript tagging and
- 1:46redlining. Research shows a nineteen percent employment gap
- 1:49for young workers in AI-exposed roles. AI handles output
- 1:53efficiently, but it misses the nuanced insights gained through
- 1:56manual practice. Other reads available from UX Design.cc on
- 1:59AI regulation, stress quantification, and the variance
- 2:02problem.
- 2:10A conference speaker on the main stage just delivered a talk that
- 2:14was allegedly written by AI. Over on r/UXDesign, a designer
- 2:17is asking if this is becoming the new normal for industry
- 2:20events. They describe the content as lacking innovation
- 2:23and feeling hollow, which raises a bigger question about who owns
- 2:26the intellectual labor behind these presentations. If the tool
- 2:29generates the insight, the responsibility shifts from the
- 2:32human presenter to the system, and we currently lack the
- 2:35structure to hold that system accountable. In r/UXDesign, a
- 2:38principal content designer is trying to pivot to product
- 2:41design because they fear their current role will be automated.
- 2:45They have the strategy but lack the visual craft, and they're
- 2:48looking for a way to bridge that gap without starting over. This
- 2:51isn't just a career move, it's a survival tactic in a market
- 2:54where the definition of "designer" is changing faster
- 2:57than the job descriptions can keep up. Also in r/UXDesign,
- 3:00someone is frustrated that they can't build reusable AI skills
- 3:03for their team. They note that shared workflows fail because
- 3:07they ignore the specific nuances each designer relies on,
- 3:10highlighting a disconnect between management expectations
- 3:13and the reality of complex, iterative prompting. We have the
- 3:16tools, but we're missing the shared vocabulary to make them
- 3:19work for everyone. Today's discussions point to a clear
- 3:22gap: we're building faster than we're defining the rules.
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- 3:57We need to talk about the accountability gap, specifically
- 3:59what Jeff Gothelf is arguing: before you automate a decision,
- 4:02you have to name the person who bears the consequences. It's a
- 4:05structural failure. That resonates because I see the same
- 4:08energy in the community right now. People are pivoting roles,
- 4:11or fearing their craft is being eroded, because they don't know
- 4:14who owns the output when the AI generates it. It's a survival
- 4:17tactic. And that's the systemic issue. When we treat LLMs as
- 4:20"normal technology," we're inverting the process. We're
- 4:22building solutions before defining the problem, which
- 4:25means the human judgment that used to sit between the tool and
- 4:28the user is now invisible. We're skipping the definition phase
- 4:31entirely. But here's where I push back on the "invisible"
- 4:34part. The craft has shifted. The value lies in the curation. If
- 4:37the tool does the heavy lifting, the human role becomes the
- 4:39editor who knows what to cut. That's a fair reframe, but it
- 4:42only works if the organization treats that editing as a gate.
- 4:45If the leader isn't the one signing off on the final output,
- 4:48the editor has no authority. You can't defend a decision you
- 4:51didn't make. Exactly. So the fix is to restructure the
- 4:54workflow. The person who curates the output must be the one who
- 4:57answers for it. That's the new definition of seniority. It's a
- 5:00simple rule, but it's one that changes the power dynamic
- 5:02completely. And once that rule is in place, the fear of
- 5:05automation fades, because the human becomes the decision-
- 5:08maker.
- 5:10That's The Feed and The Thread for today. We'll catch you next
- 5:13time!