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. 6d ago

    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, Kraut & 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

  2. Sep 16

    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

  3. Aug 25

    Figma Make Time Savings, LLM Bias Affects Designers, Target's AI/UX Bid, EasyCircuit

    Nik and Dan open the fall semester with a look at how their own courses have been rebuilt around AI this year. Nik's third run of AI Augmented Designer now leans hard into professional software development practice. Dan is teaching Designing for AI Products and Services, an Advanced Interaction Design Studio reworked around AI-ready design systems, and a new independent study with Brad Myers on "AI widgets" — what happens when scroll bars, cut-and-paste, and other decades-old microinteractions get smarter. This week’s news: Figma's randomized controlled trial on Figma Make found roughly 20% time savings, but Nik pushes on whether a 52-minute task dropping to 45 minutes actually feels different, or whether the real gain is more iteration cycles. Maud Benaddi's article on bias in LLMs prompts a discussion of how training-data skew shows up in generated personas, AI-assisted copy, and flattened qualitative research summaries; Nik connects it to Liz Gerber's exercise having students generate personas of themselves and watch the class recoil. Target's appointment of its first chief AI officer, Chandhu Nair, alongside Purvi Shah as SVP of UX, gets read as a welcome sign of AI and UX paired around real operational value rather than an AI strategy for its own sake. We close on EasyCircuit, a new app for vibe-coding hardware prototypes — fun, promising, and, as Nik found when a wiring render would have let the blue smoke out, a reminder that basic usability QA still matters. LINKS Measuring Time Savings From Figma Make https://www.figma.com/blog/measuring-time-savings-from-figma-make/ Bias in LLMs, or how to design for everyone with tools built for someone — Maud Benaddi https://medium.com/@maudbenaddi/bias-in-llms-or-how-to-design-for-everyone-with-tools-built-for-someone-01b8e38bd17b Target Strengthens AI and UX Capabilities to Power Its Next Chapter of Growth https://corporate.target.com/news-features/article/2026/08/chandhu-nair-purvi-shah EasyCircuit https://easycircuit.app/ Dr. Liz Gerber’s LinkedIn post https://www.linkedin.com/posts/elizgerber_ai-builds-cardboard-cutouts-of-people-not-share-7440452615232024576-aS5k/

  4. Aug 18

    Deep Dive: Andy Budd on the Future of the Design Industry

    Andy Budd — reformed designer, coach to design leaders, and advisor at VC fund Seedcamp — joins Nik and Dan for a wide-ranging conversation about whether the design industry is about to boom or bust. Andy argues we hit "peak designer" around 2021–22, and that we're now in an era of Schrödinger's design and nobody has opened the box. The bull case is that AI hands designers the means of production. No more petitioning product managers for backlog space or begging engineering for a prototype — designers can spot the debt, fix it, and ship it. The bear case is that everyone else got there first. Product managers can now design, engineers can now do discovery, and design shrivels down to a five-person team babysitting the design system for a 300-person engineering org. We talk about taste of course, but Andy points out that everyone thinks they have taste. He also revisits his poker-versus-chess framing — designers study the board and hate mistakes while their peers just want to play every hand. We end on a genuinely unsettled note about the industry itself. How are your house painting skills? LINKS The Bull And Bear Case For Digital Design In The Age Of AI https://www.smashingmagazine.com/2026/07/bull-and-bear-case-digital-design-age-ai/ The Six Levels of Adaptive Software https://www.andybudd.com/archives/2026/06/the-six-levels-of-adaptive-software AI and the Mangrove Problem https://andybudd.com/archives/2025/09/ai-and-the-mangrove-problem The Growth Equation book https://www.andybudd.com/book/ design + AI Summit — Brighton Dome, 24–25 September 2026 https://designplusaisummit.com/ Andy Budd's blog https://www.andybudd.com/ Smilla’s Sense of Snow book https://amzn.to/4znTIPt Pattern Recognition book https://amzn.to/4znk9F5

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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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