Research

Where measurement meets AI governance.

Interface grows out of research traditions in psychometrics, cognitive science, human-AI interaction, automated decision-making, AI governance and knowledge-work design.

Cognition

Research traditions in cognitive science and human-centred design that ground Interface's augmentation and ergonomics principles.

Cognition

Extended Cognition

The hypothesis that tools and environments can be genuine parts of cognitive processes.

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Cognition

Distributed Cognition

How cognitive activity distributes across people, artefacts and environments.

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Cognition

Cognitive Ergonomics

Designing tools and workflows to fit human cognitive capacities and reduce unnecessary load.

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Cognition

Human-AI Interaction

How people understand, trust and work alongside AI systems.

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Measurement

Research traditions in psychometrics, measurement theory and assessment design that ground Interface's measurement and validation capabilities.

Measurement

Psychometrics

The theory and practice of measuring psychological attributes through observable responses.

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Measurement

Measurement Theory

The conditions under which numbers can legitimately represent attributes.

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Measurement

Validation Theory

Establishing that measurements and inferences capture what they are intended to capture.

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Measurement

Evidence-Centred Design

Building assessments from intended inferences backward to evidence design.

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Governance

Research traditions in AI governance, accountability and assurance that ground Interface's trust and compliance architecture.

Governance

AI Governance

Policies and practices for deploying and holding AI systems accountable.

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Governance

Explainable AI

AI systems whose outputs can be understood, audited and justified.

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Governance

Automated Decision Making

Algorithmic systems that make or inform decisions affecting people, and the governance questions this raises.

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Governance

AI Assurance

Methods for establishing AI systems are safe, reliable and fit for purpose.

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Infrastructure

Research traditions in data sovereignty, local computing and open systems that ground Interface's deployment and ownership principles.

Infrastructure

Data Sovereignty

The principle that people and organisations should control their own data.

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Infrastructure

Local-First Computing

Software that prioritises user ownership and avoids cloud dependency.

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Infrastructure

Open Systems

Architectures designed for interoperability and portability rather than lock-in.

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Infrastructure

Sovereign AI

Running AI on infrastructure you control, independent of third-party providers.

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