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Ideas & positions · Adeeb Noor

What the Score Hides

I believe a system should be judged by the decisions it makes possible, the people those decisions affect, and the evidence an institution can defend.

Permanent page · My position

Four positions I am prepared to defend.

I return to one question across AI, institutions and education: what becomes invisible when a complex decision is compressed into a score? I set out my positions here, connect them to work that can be examined, and make clear what would change my mind.

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Essay archive

Essays

I develop my positions through concrete decisions in AI, institutional design and education.

AI & institutional decisions

First recorded on this site:

Capacity Is a Policy Choice

I believe the number of opportunities a system can allocate belongs in the explanation of its decisions. A model cannot take responsibility for a limit the institution chose.

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Workforce & institutional design

First recorded on this site:

Define the Position Before Filling It

I believe institutions need a defensible description of the work before they ask AI to classify a role, recommend a requirement or assess a candidate.

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Education & judgment

First recorded on this site:

Readiness Needs Evidence

I judge readiness through a learner’s ability to connect a choice to evidence, state its limits and revise it when a consequential constraint changes.

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From position to examination

RIDI: I ask what performance equivalence leaves undecided.

Examine the research demonstrationRead the allocation argument

I investigate why equivalence on declared performance measures need not imply equivalence in downstream action. I use RIDI to make that question inspectable, including how selection identity can change under a stated constraint. The public demonstration replays one SciFact case: the displayed retrieval metrics remain unchanged while the recorded answer changes. I use that case to examine the limits of the reported audit; I would need separate evidence to estimate the frequency or consequences of such changes in a deployment.

Implementation & project stages →
iSCARB · judgment, evidence & context

iSCARB: what makes a judgment defensible?

I want a learner to connect a claim to evidence, explain the limits of that evidence and revise a choice when a consequential constraint changes. I bring this position into iSCARB, with IMAM as a contextual design layer for language, local examples and educational purpose. I believe that context should help a student reason within the discipline while the university retains responsibility for curriculum, assessment and the meaning of readiness.

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iSCARB: learning design & practice →

A growing argument, with room to revise.

Each essay displays its first recorded date on this site, with the date of its current edition shown in the article. First-recorded dates come from the public repository history. I aim to publish one substantial essay every two weeks, alternating Arabic and English, and explain substantive revisions.

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