AI Alignment Requires Human Alignment First
Why misaligned judgment does not disappear when delegated to systems.
Much of the current discussion around artificial intelligence focuses on alignment.
How do we ensure that systems behave according to human values, goals, and constraints?
This framing assumes something rarely examined: that human judgment itself is sufficiently aligned.
It is not.
The hidden asymmetry
Human decision-making is shaped by context, bias, incomplete information and state of mind. It is often inconsistent, and rarely subjected to explicit reflection on how judgments are formed.
Yet the AI systems we build are expected to be coherent, stable, and ultimately aligned with clearly defined objectives.
This creates a structural asymmetry.
We ask systems to demonstrate a level of alignment that humans themselves do not consistently achieve.
Misalignment does not disappear
As AI systems improve, another dynamic emerges: the gradual delegation of cognitive effort.
This concerns not only execution, but also elements of reasoning, interpretation, and framing.
This delegation rarely feels like loss of control but often like efficiency.
However, without deliberate awareness, it creates a shift.
Decision-makers may begin to align with model outputs without fully examining the assumptions that produced them.
In such conditions, AI does not correct human misalignment.
It stabilises and scales it.
The real challenge
The alignment problem is therefore not only technical.
It is a reflection of human ambiguity. For illustration:
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Values: difficult to define.
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Objectives: often incomplete.
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Incentives: rarely capturing what truly matters.
Systems optimise what is precisely specified but do not resolve what remains unclear.
Board-level implication
For boards, the question is therefore not whether AI systems are aligned but whether the judgment guiding their use is.
Under conditions of acceleration, alignment cannot be delegated. It must be exercised.
Executive Reflection
Artificial intelligence increases the consistency of decisions while it does not guarantee their coherence.
If human judgment remains misaligned, more powerful systems will not correct it and, de facto, they will make it more consequential.
Igor Allinckx
Board Governance · AI & Humanity
March 2026
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