Bias and Blind Spots — An Invitation to Awareness

This entry is part 1 of 9 in the series February 2026 - Bias and Blind Spots

Most of us like to think of ourselves as fair-minded. We value evidence. We try to be reasonable. We believe we are open to correction. When bias is mentioned, we often imagine it as something obvious and external — a flaw in others, a problem “out there”, something that can be identified and fixed once … Read more

How Cognitive Bias Creeps Into Code

This entry is part 2 of 9 in the series February 2026 - Bias and Blind Spots

When we talk about bias in technology, the conversation often jumps straight to data. Training sets, sampling issues, skewed distributions — these are familiar and important concerns. But long before data enters the picture, bias has already been at work. It begins in the human mind. Every line of code is written by someone who … Read more

Search Me, O God: Naming Our Blind Spots (Ps 139:23–24)

This entry is part 3 of 9 in the series February 2026 - Bias and Blind Spots

There is something deeply unsettling about being truly seen. Most of us are comfortable with partial visibility — being known in ways we can manage, understood on our own terms, seen when we are prepared. What we resist is exposure: the uncovering of what we have not noticed, what we have avoided, or what we … Read more

When Data Misleads Us: Bias in Datasets and Models

This entry is part 4 of 9 in the series February 2026 - Bias and Blind Spots

Data carries an aura of authority. Numbers feel solid. Charts look persuasive. Models produce outputs with an air of precision. In technical contexts, it is easy to assume that data-driven decisions are inherently fairer, more rational, and less biased than human judgment alone. But data does not speak for itself. Every dataset is the product … Read more

The Logs in Our Own Eyes (Matt 7:1–5)

This entry is part 5 of 9 in the series February 2026 - Bias and Blind Spots

Few of Jesus’ teachings are as memorable — or as uncomfortable — as his words about judgment: The image is deliberately exaggerated. A speck is small, irritating, easy to spot. A log is large, obstructive, impossible to miss — except, apparently, when it belongs to us. Jesus uses humour to make a serious point: we … Read more

Bias in AI: How to Build More Just Systems

This entry is part 6 of 9 in the series February 2026 - Bias and Blind Spots

Artificial intelligence is often spoken about as though it were an independent agent — something that decides, learns, or optimises on its own. This language is seductive. It distances us from responsibility and creates the impression that bias in AI is a mysterious technical problem rather than a human one. But AI systems do not … Read more

Debugging Our Thinking: Techniques for Reducing Bias

This entry is part 8 of 9 in the series February 2026 - Bias and Blind Spots

By this point in the month, one thing should be clear: bias is not an occasional intruder in technical work. It is a constant presence. Bias does not enter systems only when something goes wrong. It enters when things feel routine. When decisions feel obvious. When assumptions go unchallenged because they have worked before. If … Read more

Walking in the Light (1 John 1:5–7)

This entry is part 9 of 9 in the series February 2026 - Bias and Blind Spots

Truth is something we often assume we already have. We speak of facts, evidence, data, and correctness as though truth naturally emerges whenever enough information is gathered or the right processes are followed. In technical fields especially, truth is frequently treated as an output — the result of accurate measurement, clean logic, or well-designed systems. … Read more