Framework
Attention Safeguard Models
A.S.M. is the first comprehensive policy framework designed to govern how much digital attention harm systems can ethically demand. It reframes digital attention overload not as an individual discipline problem, but as a system design problem.
Core Pillars
Attention Demand Identification
A.S.M. provides structured tools to identify where and how systems impose attention demands on individuals — from digital platform design to institutional workflows.
Cognitive Burden Analysis
The framework enables quantitative and qualitative assessment of cognitive loads placed on users, employees, students, and citizens by systems they interact with daily.
Governance Safeguards
A.S.M. defines enforceable safeguards that limit how much digital attention any system can ethically demand, shifting the responsibility from individuals to system designers and policymakers.
Policy Integration
The framework is designed to integrate with existing regulatory and policy structures, providing actionable standards that can be adopted at organizational, local, and national levels.
Why A.S.M. Matters
Modern digital systems are designed to capture and hold human attention with no structural limit. The result is a society where cognitive overload is normalized, attention inequality goes unaddressed, and individuals bear the full cost of poorly designed systems.
A.S.M. provides policymakers with structured analytical tools to diagnose excessive attention demands, identify unequal cognitive burdens, and implement enforceable governance safeguards. It is the foundation on which Cognitive Attentional Standards (C.A.S.) are built.