人工知能:Artificial Intelligence

ICT技術:ICT Technology

AI becomes more intelligent by not committing to decisions — Gradients, probabilities, and the posture of deferral, and architectures that resist premature conclusions

AI is fast.Computation finishes in an instant,and answers are returned immediately. Because of this, we unconsciously b...
2026.02.28
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

The Real Reason Human-in-the-Loop Fails — Why “Human-at-the-End” Loses Responsibility, and the Shift Toward Human-as-Author

Human-in-the-loop (HITL) has long been presented as a safety mechanism for the AI era. The human checks at the end.The ...
2026.02.27
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Is a Multi-Agent System a Failure If It Fails to Reach Consensus? — Designing “Non-Agreement” as an Outcome, and the Value of Conflict Logs —

When people hear “multi-agent,”many expect the following: Agents discuss with one another.They reconcile their differen...
2026.02.26
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Treat Cold-Start as a Contract — Transform Data Scarcity into a Design Problem —

Cold-Start Is Considered a Technical Problem The cold-start problem is usually treated as a technical issue. There ...
2026.02.25
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

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
ICT技術:ICT Technology

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
ICT技術:ICT Technology

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
ICT技術:ICT Technology

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
ICT技術:ICT Technology

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
ICT技術:ICT Technology

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
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