hummingbird | Deus Ex Machina

Where Should We Write the Condition to Stop Judgment? — Externalizing Stop Conditions and the Importance of Designing “Return to Human” —

AI does not stop. Optimization continues.Probabilities update.Scores improve. This is not a defect.Computation is desi...

2026.02.24

ICT技術:ICT Technology人工知能:Artificial Intelligence

How to Build Ontology, DSL, and Behavior Trees Efficiently and Accurately — A Practical Method for Designing Judgment Structures —

In previous articles, I explained why judgment must be externalized. We introduced three structural components: ...

2026.02.23

ICT技術:ICT Technology人工知能:Artificial Intelligence

Externalizing Judgment in AI Systems — A Decision-Oriented Signal Platform Built on Ontology, DSL, and Behavior Trees

Many AI platforms are designed with a single dominant focus: How can we make the model smarter? Improve accuracy. ...

2026.02.22

ICT技術:ICT Technology人工知能:Artificial Intelligence

Designing Progressive Trust Scores as Contracts — Treating Trust Not as a Learned Outcome, but as a Revocable Boundary —

Trust scores are convenient.When there is a number, people feel reassured. But there is a fatal misunderstanding about ...

2026.02.21

ICT技術:ICT Technology人工知能:Artificial Intelligence

Externalizing Judgment in Machine Learning Systems — The Design Philosophy Behind the Decision-Oriented Signal Platform —

Most AI platforms are designed around a single goal: building smarter models. Improve accuracy.Increase inference speed...

2026.02.20

Uncategorized

Exceptions Are Not Failures — How to Integrate Exception Handling into Design, and Why More Exceptions Can Mean a Healthier System —

A system with many exceptions is often seen as“unfinished,”“unstable,”or “poorly designed.” That is why many AI and bus...

2026.02.19

ICT技術:ICT Technology人工知能:Artificial Intelligence

Who Owns the Objective Function? — The Implicit Judgments Embedded in Scores and the Problem of the Values Humans Did Not Write Down —

AI is often believed to be fair.It evaluates through numbers, remains unaffected by emotion, and produces consistent jud...

2026.02.18

ICT技術:ICT Technology人工知能:Artificial Intelligence

Why AI Cannot Possess “Common Sense” — Common Sense as a Collection of Discontinuities, and Common Sense as Ontology —

AI knows an enormous amount. Wider than an encyclopedia.Faster than a specialist. And yet, at a certain moment, we fee...

2026.02.17

ICT技術:ICT Technology人工知能:Artificial Intelligence

Why “Explainable AI” Does Not Constitute a Fundamental Explanation — The Difference Between Explanation and Justification, and the Division of Roles Between Logic and Accountability

There is a term called “Explainable AI (XAI).”AI that is not a black box.AI that can explain the grounds of its decision...

2026.02.16

ICT技術:ICT Technology人工知能:Artificial Intelligence

Probability Is Not for Reducing Uncertainty — The True Role of Probability and the Perspective of Designing to Preserve Ambiguity

When probabilities are presented, people feel reassured. Success probability: 82%Risk: 18%Confidence: 0.91 When number...

2026.02.15

ICT技術:ICT Technology人工知能:Artificial Intelligence

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Where Should We Write the Condition to Stop Judgment? — Externalizing Stop Conditions and the Importance of Designing “Return to Human” —

How to Build Ontology, DSL, and Behavior Trees Efficiently and Accurately — A Practical Method for Designing Judgment Structures —

Externalizing Judgment in AI Systems — A Decision-Oriented Signal Platform Built on Ontology, DSL, and Behavior Trees

Designing Progressive Trust Scores as Contracts — Treating Trust Not as a Learned Outcome, but as a Revocable Boundary —

Externalizing Judgment in Machine Learning Systems — The Design Philosophy Behind the Decision-Oriented Signal Platform —

Exceptions Are Not Failures — How to Integrate Exception Handling into Design, and Why More Exceptions Can Mean a Healthier System —

Who Owns the Objective Function? — The Implicit Judgments Embedded in Scores and the Problem of the Values Humans Did Not Write Down —

Why AI Cannot Possess “Common Sense” — Common Sense as a Collection of Discontinuities, and Common Sense as Ontology —

Why “Explainable AI” Does Not Constitute a Fundamental Explanation — The Difference Between Explanation and Justification, and the Division of Roles Between Logic and Accountability

Probability Is Not for Reducing Uncertainty — The True Role of Probability and the Perspective of Designing to Preserve Ambiguity

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