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.
Two Wharton researchers want to add a third system to dual-process theory. You can argue with the label, though the 40-percentage-point accuracy gap between people given a right AI and people given a wrong one is harder to wave away.
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.
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.
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.
Behavioral science has powerful tools to dismantle colonial structures. But only if researchers resist the temptation to treat decolonization as a synonym for inclusion.
Why strategic judgment (not traditional planning) determines whether transformation succeeds in the AI era.
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.
