Defining How Systems Shape Digital Attention
A.S.M. is the applied system used to identify digital attention risk, inequity, and safeguards in real‑world digital environments. C.A.S. is the platform A.S.M. uses to score digital environments on how much digital harm they are producing.
A.S.M. / C.A.S.
A.S.M. is the applied system used to identify attention risk, inequity, and safeguards in real‑world environments. C.A.S. is the platform A.S.M. uses to score digital environments on how much harm they are producing.
Managing Cognitive Workload
This is where a lot of modern attention gets consumed. Work platforms, learning systems, and constant digital tasks all stack up here. Attention Safeguard Models are about making sure these systems don't demand more focus than people can reasonably give.
Coordinating Attention Standards Across Systems
Across the entire digital environment, attention is being pulled from everywhere at once, not just from one device or system. Attention Safeguard Models exist to govern that broader attention economy instead of letting it run unchecked.
Reclaim Your Attention Sovereignty
This is where attention pressure becomes nonstop through notifications, alerts, and constant responsiveness. Attention Safeguard Models step in to protect people from being expected to be cognitively available all the time.
Formal Policy Safeguards for Human Attention
This is about setting real standards and accountability for how much attention institutions are allowed to demand. Attention Safeguard Models turn attention protection into something that can actually be governed, measured, and enforced.
Standards for a Cognitively Sustainable Society
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