We all have parts of ourselves others know but we don’t. Gain greater self-awareness by seeing yourself from the outside in

Etymology unravels the mysteries of language and the hidden webs that link people across the world. Here’s how to dive in

YouTube video by Karen Wood

A Trump-linked oil company just sent heavy equipment to drill in Greenland. Join to help locals stop it!

From late June through July, successive heat waves swept across large portions of the United States, breaking temperature records and placing more than 100 million people at a time under heat alerts. ...

Commission an immediate public inquiry into how to ensure a responsible press given its contribution to Dr Arday’s tragic death.

On compulsory optimism, lost time and the adult politics of existential risk

Palestinians say they have been cut off from salaries, savings and aid after accounts were frozen or closed without warning

This is a moment taken during Nora Bateson's teaching of Warm Data theory, where Nora explores and describes the paradox of agency. This is only one moment from one part of a much larger whole. The ...

Environment Agency assessments find just 14.3% of country’s surface waters in good ecological status

The integration of artificial intelligence (AI) into decision-making processes has transformed high-stakes industries such as healthcare and the military, raising critical questions about its impact on decision-making traits such as empathy, responsibility, critical thinking, risk aversion, and self-confidence. While prior research has largely examined AI’s effects on individual traits in isolation, a gap remains in understanding how these traits interact in a complex interplay of drivers. This study aims to identify the underlying drivers by which AI-supported decision-making reshapes decision-making traits in high-stakes industries. Methodologically, the work draws on 22 semi-structured interviews with healthcare and military professionals. Based on thematic analysis, we identified five First-Order Drivers associated with trait displacement—physical and emotional distance, abstraction, perceived inferiority, added entity, and scapegoating tendency. We further identified three Second-Order Amplifiers—technological, individual, and situational factors—which intensify the magnitude of the effects. Together, these insights are synthesized in the AI-Enhanced Trait Modulation (AETM) model, an integrative framework explaining decision-making trait displacement. To situate AI’s effects in relation to other technologies, we introduce a complementary heuristic, the 5S framework. Our results highlight the growing need for ethical governance, user-centric AI design, and organizational contexts that foster critical engagement in response to AI-induced trait displacement. Especially amid accelerating AI adoption and geopolitical tension, preserving the human core of decision-making remains an ethical imperative.

My name is Mambud Samai. I grew up in Sierra Leone, survived its civil war, and spent years in a refugee camp watching amputees struggle to find a place in...

Discover a new temporary exhibition by Bompass & Parr

ALT: Miss Piggy Primping on The Muppet Show

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In a world of instant answers, the radical advantage we still have is that of independent thinking. It pulses ease and care… It calls on life. When I first came across Nancy Kline’s Time To Think Coaching and Facilitation approach back in 2008, I found an aesthetic and imaginative practice that develops our capacity to think independently, rigorously, and for ourselves: without interruption, limiting assumptions, rush, or evaluation.