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- 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. (1)
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- Digital Attention Harm, Digital Attention Capitalism, Attention Safeguard Models, Cognitive Attentional Standards, Sociological Impact Assessment, Platform Accountability, Digital Sociology, Attention Economy, Delante Clark (1)
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- Keywords: algorithmic attention, visual salience, variable rewards, infinite scrolling, recommender systems, attention governance, digital wellbeing, ASM, CAS, attention safeguard models, cognitive attentional standards, Delante Clark, I.D.E.A.S (1)
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Articles 1 - 5 of 5
Full-Text Articles in Science and Technology Policy
The End Of Unmeasured Exploitation: How A.S.M., C.A.S., And S.I.A. Challenge Digital Attention Capitalism, Delante Clark
The End Of Unmeasured Exploitation: How A.S.M., C.A.S., And S.I.A. Challenge Digital Attention Capitalism, Delante Clark
Graduate Scholarship and Creative Works
Digital attention capitalism generates value through the capture and monetization of human attention, yet it has historically lacked standardized mechanisms for measuring attention-related harm. This paper argues that the Attention Safeguard Models (A.S.M.), Cognitive Attentional Standards (C.A.S.), and Sociological Impact Assessment (S.I.A.) collectively challenge this system by introducing an integrated framework for classifying, measuring, and evaluating digital attention harm and its societal consequences. C.A.S. provides standardized measurement of digital attention harm, A.S.M. identifies and classifies patterns of attentional disruption and manipulation, and S.I.A. evaluates broader impacts on institutions, communities, civic engagement, education, social cohesion, and inequality. Together, these systems transform …
Expanding The Cognitive Attentional Standards Platform Through Artificial Influence Assessment (Aia): Rationale, Development, And Measurement Design, Delante Clark
Graduate Scholarship and Creative Works
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 …
Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark
Graduate Scholarship and Creative Works
Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …
The Attention Safeguard Models: Governing Digital Harm Without Restricting Lawful Speech, Delante Clark
The Attention Safeguard Models: Governing Digital Harm Without Restricting Lawful Speech, Delante Clark
Graduate Scholarship and Creative Works
Digital platforms increasingly govern contemporary social, civic, and psychological life through systems optimized for attention capture, amplification, and monetization. While lawful expression remains protected under the First Amendment, the infrastructural mechanisms that determine how speech circulates have produced a range of attention‑based harms, including cyberbullying, engagement farming, compulsive doom scrolling, emotional dysregulation, and civic polarization. This research paper introduces the Attentional Safeguards Model (ASM), coined and formalized by Delante Clark, as a novel governance framework that mitigates such harms by regulating systems of amplification rather than restricting expression itself. Building on attention economy theory, technological mediation, constitutional free‑speech doctrine, …
Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger
Artificial Elections: How Artificial Intelligence Can Affect Elections And Decide Our Future, Ryan D. Granger
Honors Undergraduate Theses
This thesis examines the growing role of artificial intelligence (AI) in democratic elections, highlighting both its transformative potential and its associated risks. Drawing on a qualitative analysis of existing literature, the study explores how AI is increasingly integrated into political campaigns, election administration, and voter engagement. Key benefits include enhanced data analysis, personalized political messaging, and improved efficiency in campaign operations. AI also supports real-time fact-checking and more accurate vote tabulation, which can strengthen transparency and trust in electoral processes. However, the thesis emphasizes that these advantages are accompanied by significant challenges. AI technologies enable the rapid creation and dissemination …