AI and Design

Dan Saffer and Nik Martelaro

Two Carnegie Mellon faculty explore how artificial intelligence is reshaping the world of design. Each week, we'll break down the latest AI developments, dive deep into AI topics that matter to designers, and talk with fascinating guests who are right at the intersection of these fields. All views expressed are our own and not reflective of Carnegie Mellon or the Human-Computer Interaction Institute.

  1. 1 day ago

    Structured AI Context, How PMs are Being Affected by AI, A Conversation with Junior Designers

    Episode 40 starts with a quick note that it’s launch week for Dan’s debut novel, The Restoration, then turns to the week’s news. Nik covers Anton Sten’s method for giving AI structured context with two markdown files: a chronological running-notes log and a stricter decisions log with the newest entries first. Dan then walks through Casey Winters’ interviews with product managers about how AI has changed their work. PMs are shipping more without matching business results, prioritization has to be relearned now that engineering scarcity no longer forces it, and trust in AI drops as PMs’ workflows get more sophisticated. Last, they discuss Ron Goldin’s case that “product designer” no longer describes a job, and his replacement of four attributes: Style, Strategy, Builder, and Operator. In the second half, four recent CMU HCI graduates describe what entering the field is like right now. Lisa, Nava, and Qiyu work in design roles, and Sean is a PM. They talk about a brutal job market (Sean’s company got roughly 80,000 applicants for 14 new-grad roles) and about roles blending as designers write PRDs and PRs they can’t fully verify. They also talk about mentorship increasingly coming from engineers, LinkedIn, and Claude itself. Their organizations handle AI very differently: one product team has banned AI-written PRDs because everyone’s agents reached the same conclusions, while elsewhere design is the last step still done by hand. Their advice to students and educators: learn by doing, build with AI out of curiosity rather than FOMO, keep returning to first principles, and make sure you are the one who actually understands the work. LINKS Dan's debut AI novel The Restoration https://mybook.to/TheRestoration2176 Where Decisions Live – Anton Sten https://www.antonsten.com/articles/where-decisions-live/ How PM Work Is Changing in the AI Era – Casey Winters https://www.caseyaccidental.com/p/how-pm-work-is-changing-in-the-ai Product Designer Is No Longer a Job Description – Ron Goldin https://rongoldin.substack.com/p/product-designer-is-no-longer-a-job Gartner Hype Cycle https://www.gartner.com/en/research/methodologies/gartner-hype-cycle

  2. 22 Oct

    OpenAI's Intelligent UI, Facebook's Your Algorithm, AI Relationship Quality (ARQ)

    Fresh off their first live show, Nik and Dan look at three stories about who gets to shape what AI shows us. First up is OpenAI’s Intelligent UI, which lets GPT-6 build small interactive interfaces (charts, forms, buttons, maps) inline in ChatGPT instead of returning a wall of text. They compare it to Claude Artifacts, argue that speed is what makes it usable as a default, and ask what happens when companies like QuickBooks have to hand over a design system for their product to show up inside someone else’s chat window. Is ChatGPT becoming an operating system that generates apps on demand, across the silos our tasks currently live in? Next, Facebook’s “Your Algorithm” lets people steer their Feed and Reels in plain language. Dan draws on his time at Twitter and the promise of Bluesky’s algorithm marketplace; Nik wonders whether more control might raise engagement rather than lower it, and how this data could feed Meta’s Muse agents. Finally, UserTesting has rebranded as Auros and is pivoting toward AI training and evaluation with verified human experts. Its new AI Relationship Quality (ARQ) benchmark measures trust, affinity, and control alongside technical performance, which leads to a frank conversation about why benchmark gains don’t always produce models that are pleasant to work with, and whether ARQ could become the NPS of AI. LINKS OpenAI Wants ChatGPT to Stop Looking Like a Chatbot (Gizmodo) https://gizmodo.com/openai-wants-chatgpt-to-stop-looking-like-a-chatbot-2000823211 Facebook Is Giving Users More Control Over Their Algorithm (TechCrunch) https://techcrunch.com/2026/10/13/facebook-is-giving-users-more-control-over-their-algorithm/ UserTesting Rebrands as Auros, Aims to Bring Humans into AI Experience (Constellation Research) https://www.constellationr.com/insights/news/usertesting-rebrands-auros-aims-bring-humans-ai-experience Auros Adds ‘Human Elements’ to AI Evaluation (Daily Research News) https://www.mrweb.com/drno/news40429.htm Dan’s debut AI novel The Restoration (2176, Book One) https://link.amazon/B05GcHBe7

  3. 30 Sept

    AI Sychophancy with Steve Rathje

    This week Dan and Nik sit down with Steve Rathje, a new HCII colleague who runs CMU's Psychology of Technology Lab, to talk about what sycophantic AI does to the people using it. Steve's team randomly assigned people to chat with bots that were flattering, disagreeable, or neutral. People liked the flatterers, shrugged at the neutral ones, and hated the bots that pushed back. For designers, the news is mixed. Validation drives enjoyment, but cherry-picked facts do the persuading, so pairing a little warmth with opposing evidence makes disagreement easier to take (at some cost to its persuasive punch). The bad news: across six studies from three research teams, teaching people about sycophancy through warnings, videos, or quizzes made the chatbot seem less trustworthy but no less persuasive. That puts the little "AI can make mistakes" disclaimer in an unflattering light. We also cover AI dark patterns, whether the right dose of sycophancy depends on the task, and Dan's random idea of a group chat of dueling AI personalities. Plus, Nik explains Jev and the new class of fast, cheap "System One" decision models, and we look at pieces from Microsoft and DoorDash design teams on why AI evals should measure what users experience as well as what models get right. LINKS Jev decision model touted as quicker, cheaper LLM alternative (TechTarget) https://www.techtarget.com/it-infrastructure/news/366650696/Jev-decision-model-touted-as-quicker-cheaper-LLM-alternative Putting the user back into AI Evaluation (Microsoft Design) https://microsoft.design/articles/putting-the-user-back-into-ai-evaluation/ Building AI Evals: Who Gets to Decide What’s Good? (Doordash Design) https://medium.com/design-doordash/building-ai-evals-who-gets-to-decide-whats-good-39671385f50d Sycophantic AI increases attitude extremity and overconfidence (Rathje et al.) https://osf.io/preprints/psyarxiv/vmyek_v1/ Observing sycophantic AI validate others reduces its appeal but not its persuasiveness (Ye, K***t & Rathje) https://arxiv.org/abs/2607.25166v1 Sycophancy in GPT-4o: What happened and what we're doing about it (OpenAI) https://openai.com/index/sycophancy-in-gpt-4o/ Silicon sycophants: the effects of computers that flatter (Fogg & Nass, 1997) https://www.sciencedirect.com/science/article/pii/S1071581996901044 Insincere Flattery Actually Works: A Dual Attitudes Perspective (Chan & Sengupta, 2010) https://journals.sagepub.com/doi/abs/10.1509/jmkr.47.1.122 On the conversational persuasiveness of GPT-4 (Salvi et al., Nature Human Behaviour) https://www.nature.com/articles/s41562-025-02194-6 @Grok Is This True? LLM-Powered Fact-Checking on Social Media (Renault, Mosleh & Rand) https://osf.io/preprints/psyarxiv/85quw_v1 Steve Rathje's website https://stevenrathje.com/ Steve Psychology on TikTok https://www.tiktok.com/@stevepsychology

  4. 16 Sept

    Apple's Siri AI and Audio Intelligence, Project Solaris, Miro Sale, AI Tool Building

    In this episode, Dan and Nik unpack Apple's big announcements from its latest event, starting with Siri AI: now a dedicated app with personal context indexing, on-screen awareness, and in-app actions, launching in beta with iOS 27 . They dig into the promise and limitations of Apple-only app integration, the EU regulatory lockout, and what daily usage caps signal about Apple's services ambitions. The conversation gets more charged around Audio Intelligence, Apple's new always-on listening features for the Apple Watch, including live audio rewind and Siri Recap summaries of real-world conversations. Dan and Nik wrestle with the surveillance implications, the absence of any on-device indicator, and whether this crosses a line — particularly in two-party consent states like Pennsylvania and California. The back half covers Runway's Project Solaris, a generative UI concept that uses its video model to render fully interactive, pixel-based interfaces with no underlying code. Dan sees echoes of Microsoft's Bob-era skeuomorphism and questions whether it misunderstands fifty years of HCI; Nik finds more to like in its challenge to the sameness of modern app design. They then turn to the surprise sale of Miro to Bending Spoons for $1.36 billion — a 90% haircut from its 2021 peak valuation — and what it means when a profitable, hundred-million-user company gets absorbed into a portfolio known for maintaining but not advancing its acquisitions. The episode closes with a discussion of Benedict Evans' essay "AI, Tools and Transformation," which argues that the Silicon Valley vision of everyone rolling their own SaaS tools misunderstands how most people think about their work. LINKS Introducing Solaris https://runway.com/news/research/introducing-solaris Bending Spoons to buy collaboration tools maker Miro for $1.36B, 90% less than its 2022 valuation https://techcrunch.com/2026/09/10/bending-spoons-to-buy-collaboration-tools-maker-miro-for-1-36b-90-less-than-its-2022-valuation/ AI, Tools and Transformation (Benedict Evans) https://www.ben-evans.com/benedictevans/2026/9/3/ai-tools-and-transformation

About

Two Carnegie Mellon faculty explore how artificial intelligence is reshaping the world of design. Each week, we'll break down the latest AI developments, dive deep into AI topics that matter to designers, and talk with fascinating guests who are right at the intersection of these fields. All views expressed are our own and not reflective of Carnegie Mellon or the Human-Computer Interaction Institute.

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