Insights
WEIRD by Default: Why Behavioral Findings Don't Generalize - and Why That Matters for AI
When 9 out of 10 of the world's population is underrepresented in behavioral science, are we truly grasping human behavior or just a narrow slice of it? This article delves into the overreliance on WEIRD populations in behavioral science, exploring actionable steps toward a more inclusive approach to understanding human behavior.
Recent Posts
Chatbot Privacy: What Users Aren't Told About AI Sharing Their Data
Turns out your favorite chatbot is maybe forwarding your conversation content to third parties. In some cases, the literal plaintext of what you typed and what the model said back.
The Psychological Debt of Enterprise AI Adoption: A Human-Centered Framework
By Kira Warje
As AI shifts from tools people use to agents they must actively manage, organizations that treat AI like a routine IT upgrade accrue "psychological debt": the hidden cognitive and emotional costs of misaligned integration.
Why Humans, Not Algorithms, Must Keep Authority Over Ethical Decisions
By Zakir Jamal
Though the prospect of moral certainty may seem appealing, ceding ethical decision-making to an algorithm would in reality be both practically dubious and philosophically pointless.
What Decolonization Demands
By Zakir Jamal
Behavioral science has powerful tools to dismantle colonial structures. But only if researchers resist the temptation to treat decolonization as a synonym for inclusion.
From Tasks to Decisions: Reorganizing Teams for the AI Era
Why strategic judgment (not traditional planning) determines whether transformation succeeds in the AI era.
Synthetic Focus Groups: When AI-Simulated Consumers Work and When They Mislead
By Zakir Jamal
Are synthetic focus groups a breakthrough or a bias trap? Learn about the promise and pitfalls of using AI simulations to replace traditional consumer research.
