Reading Room

Free articles on AI, behavioural biases and decision support

An abstract graphic of layered data visualisations, used here to stand for the evidence an AI model is asked to sort before a recommendation is made.
The raw material of decision support is evidence the model must sort, weight and rank.
01

When the model agrees with you too quickly

A short field guide to confirmation bias in AI-assisted investment research, and three checks that expose a flattering answer before it reaches a trade ticket.

02

The five-year window problem

Why a model trained on a single bull market can produce confident, well-phrased and structurally fragile recommendations — and how to read the data window behind any output.

03

Calibration, not confidence

A walk through probability calibration for investors: what a stated 70% should mean, and how to ask a tool whether its numbers behave the way they claim.

A note on what is not here

These articles support decisions; they do not make them for you

Nothing on this page is a paid product. There are no subscriptions, no paid reports, no trade signals, no portfolio management, no deposits taken and no investment execution. The articles are free to read. If a piece is unclear, or you want to suggest a bias to cover next, send an inquiry and the editor will reply by email.

Send an inquiry to the editor