Steven Sloman: The Cost of Conviction

Steven Sloman: The Cost of Conviction

Author: Helen and Dave Edwards February 15, 2026 Duration: 52:46

In this conversation, we explore the psychology of conviction with Steve Sloman, Professor of Cognitive, Linguistic, and Psychological Sciences at Brown University and advisor to the Artificiality Institute. Returning to the podcast for a third time, Steve discusses his new book "The Cost of Conviction," which examines a fundamental tension in how humans make decisions—between carefully weighing consequences versus following deeply held sacred values that demand certain actions regardless of outcomes.

Steve's work challenges the dominant assumption in decision research that people primarily act as consequentialists, calculating costs and benefits to maximize utility. Instead, he reveals how many of our most important decisions bypass consequence entirely, guided by sacred values—rules about appropriate action handed down through families and communities that define who we are and signal membership in our social groups. These aren't carefully derived from first principles like philosophical deontology suggests, but rather adopted beliefs about right and wrong that make us members in good standing of our communities.

Key themes we explore:

  • Sacred Values as Uber Heuristics: Why treating certain actions as absolutely right or wrong, independent of consequences, represents perhaps the most powerful shortcut for decision-making—simpler even than most heuristics because it allows us to ignore outcomes entirely
  • Conviction Without Compromise: How framing issues through sacred values makes them feel less tractable, generates more outrage when violated, and increases willingness to take action—producing the absolutist convictions that drive both heroic stands and intractable conflicts
  • Dynamic Sacred Values: How values that define communities aren't fixed but emerge and shift based on what distinguishes groups from each other—explaining why tariffs or transgender rights suddenly become hotly contested "sacred" issues that weren't previously central
  • AI's Polarization Problem: The observation that attitudes toward AI have taken on sacred value characteristics, with absolutist believers that it will save the world racing against those convinced it represents fundamental evil—both positions simpler than engaging with genuine complexity and uncertainty

The conversation reveals Steve's core thesis: we rely on sacred values too much when we should be more consequentialist. Sacred values simplify decisions in ways that produce conviction and community cohesion, but at the cost of making us intransigent, uncompromising, and absolutist. When we shift to genuinely considering consequences, we become more humble about our knowledge limitations and hopefully more open to alternative perspectives.

Yet the discussion also surfaces important nuances. Sacred values serve crucial functions—they may have consequentialist origins in cultural experience even if individuals apply them without consequence calculation. They provide the kind of universal moral stance that makes someone trustworthy in ways that preferences over specific outcomes cannot. And expressing certainty about complex issues where genuine experts admit uncertainty often signals ignorance rather than knowledge.

About Steve Sloman: Steve Sloman is Professor of Cognitive, Linguistic, and Psychological Sciences at Brown University, where his research examines reasoning, decision-making, and the cognitive foundations of community. Author of "The Knowledge Illusion" (with Philip Fernbach) and now "The Cost of Conviction," Steve's work explores how our reliance on others' knowledge shapes everything from individual decisions to political polarization. As an advisor to the Artificiality Institute, he helps bridge cognitive science insights with questions about human-AI collaboration and co-evolution.


Hosted by Helen and Dave Edwards, Stay Human, from the Artificiality Institute is a conversation that lives in the messy, human space between our tools and our selves. Each episode digs into the subtle ways artificial intelligence is reshaping our daily decisions, our creative impulses, and even our sense of identity. This isn't a technical manual or a series of futuristic predictions; it's a grounded exploration of how we maintain our agency in a world increasingly mediated by algorithms. The podcast operates from a core belief: that our engagement with AI should be about more than just safety or efficiency-it needs to be meaningful and worthwhile. You'll hear discussions rooted in story-based research, where complex ideas about cognition and ethics are unpacked through relatable narratives and real-world examples. The goal is to provide a framework for thoughtful choice, helping each of us consciously design the relationship we want with the machines in our lives. Tuning in offers a chance to step back from the hype and consider how we can actively remain the authors of our own minds, preserving what makes us uniquely human even as the technology evolves. It's an essential listen for anyone curious about the personal and philosophical dimensions of our digital age.
Author: Language: en-us Episodes: 100

Stay Human, from the Artificiality Institute
Podcast Episodes
Helen Edwards and Dave Edwards: Make Better Decisions [not-audio_url] [/not-audio_url]

Duration: 37:04
We humans make a lot of decisions. Apparently, 35,000 of them every day! So how do we improve our decisions? Is there a process to follow? Who are the experts to learn from? Do big data and AI make decisions easier or ha…
Kat Cizek and William Uricchio: Co-Creation [not-audio_url] [/not-audio_url]

Duration: 55:43
We all do things with other people. We design things, we write things, we create things. Despite the fact that co-creation is all around us it can be easy to miss because creation gets assigned to individuals all too oft…
Gerd Gigerenzer: Staying Smart [not-audio_url] [/not-audio_url]

Duration: 1:01:40
How should we respond and react to artificial intelligence and its impact on the world and each other? How should we handle the risk and uncertainty risk caused by the permeation of AI throughout our lives? To tackle the…
Eric Pliner: Difficult Decisions [not-audio_url] [/not-audio_url]

Duration: 59:20
We all want decision-making to be easier. We want simple tools and frameworks that provide a process for no-regrets decisions. But it just isn’t that easy. Despite how much we understand about the science of decision-mak…
Tom Hale: Oura Ring and the New Data of Health [not-audio_url] [/not-audio_url]

Duration: 57:08
We’d all like to be healthier—to sleep longer, have lower stress, and have more energy. But is it possible for an AI to help us accomplish this? And how would that experience feel? What data would we need to provide? How…
Frank Rose: Storytelling in a Data-Driven World [not-audio_url] [/not-audio_url]

Duration: 59:17
We all love stories—they are one of the most important ways that humans communicate. Stories create heroes to root for and villains to revile. Stories create realities and help us align our values and objectives with oth…
Ben Shneiderman: Human-Centered AI [not-audio_url] [/not-audio_url]

Duration: 1:03:52
Many of our listeners will be familiar with human-centered design and human-computer interaction. These fields of research and practice have driven technology product design and development for decades. Today, however, t…
Julio Mario Ottino: The Nexus [not-audio_url] [/not-audio_url]

Duration: 59:41
“How can we augment our thinking spaces to increase creative solutions? How can we make those solutions real by mastering complexity?” Julio Mario Ottino and Bruce Mau ask and answer these questions in their ambitious an…
Mark Nitzberg: Human-Compatible AI [not-audio_url] [/not-audio_url]

Duration: 54:11
We hear a lot about harm from AI and how the big platforms are focused on using AI and user data to enhance their profits. What about developing AI for good for the rest of us? What would it take to design AI systems tha…
Barbara Tversky: Spatial Cognition [not-audio_url] [/not-audio_url]

Duration: 1:07:01
Have you ever wondered why you can recognize and remember things but can’t describe them in words? That is one of the questions that started Barbara Tversky’s contrarian research and academic career, leading to her theor…