ORCID

0009-0001-9904-0111

Faculty Advisor

Dr. Daniel Stephens

Keywords

Artificial Influence Assessment, Cognitive Attentional Standards Platform, artificial intelligence, attention economy, cognitive safety, digital autonomy, digital governance, platform influence, algorithmic systems, attention harm, Delante Clark, I.D.E.A.S.

Abstract

Artificial intelligence is increasingly shaping how individuals access information, make decisions, and interact with digital environments. The Cognitive Attentional Standards Platform (C.A.S.) was developed to assess attention related harms, cognitive safety, digital autonomy, and platform influence across digital systems (Clark, 2026). However, the growth of generative AI, conversational agents, and algorithmic decision support technologies has introduced new forms of influence that may not be fully captured by existing assessment domains. This paper proposes the Artificial Influence Assessment (AIA) as an expansion of the C.A.S. framework designed to measure AI mediated influence on cognition, behavior, autonomy, and information processing. Drawing on research from artificial intelligence governance, digital well being, attention economy studies, and public health, the paper argues that AI influence represents a distinct phenomenon requiring dedicated measurement. The proposed AIA domain seeks to provide researchers, educators, organizations, and policymakers with a standardized method for evaluating the effects of artificial intelligence on human cognitive experiences.

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