E.C.M. Willems

Institutional AI Autonomy: Governing Institutional Choice Space under AI Conditions

This academically strengthened working paper develops Institutional AI Autonomy as the proposed institutional property of retaining substantive judgement and action in relation to AI-shaped socio-technical arrangements. The framework is conceptual and has not yet been empirically...

Public AI Fallback Options: Designing Proportionate, Executable Alternatives under AI Conditions

This pilot design note develops Public AI Fallback Options (PAIFO) as a governance concept for preserving specified, proportionate and executable alternatives as AI becomes embedded in public institutions. PAIFO is a conceptual design proposal, not an empirically validated standa...

Governance Adaptation Time (GAT): A Qualitative Reconstruction Protocol for Temporal Fit under AI Conditions

This research note develops Governance Adaptation Time (GAT) as a qualitative event-response reconstruction protocol for examining temporal fit under AI conditions. GAT is scenario-specific and is not presented as a metric, score, KPI or benchmark. Its proposed constructs and pro...

Governance Adaptation Time (GAT): A Qualitative Reconstruction Protocol for Temporal Fit under AI Conditions

This research note develops Governance Adaptation Time (GAT) as a qualitative event-response reconstruction protocol for examining temporal fit under AI conditions. GAT is scenario-specific and is not presented as a metric, score, KPI or benchmark. Its proposed constructs and pro...

Institutional AI Autonomy: Governing Institutional Choice Space under AI Conditions

This academically strengthened working paper develops Institutional AI Autonomy as the proposed institutional property of retaining substantive judgement and action in relation to AI-shaped socio-technical arrangements. It defines institutional choice space, specifies a condition...

Governance Adaptation Time (GAT): A Qualitative Reconstruction Protocol for Temporal Fit under AI Conditions

This research note develops Governance Adaptation Time (GAT) as a qualitative event-response reconstruction protocol for examining temporal fit under AI conditions. GAT is scenario-specific and is not presented as a metric, score, KPI or benchmark. Its proposed constructs and pro...