Frank C. Gahl

Research Portfolio

Published papers, manuscripts under review, and archived research on continuity, memory, accountability, verification, historical intelligibility, and AI-mediated knowledge systems.

This portfolio presents the scholarly work of Frank C. Gahl and forms the research branch of the broader TOLARENAI project. Its central concern is how societies can preserve meaning, attribution, evaluability, and historical continuity as knowledge increasingly moves through computational systems.

Portfolio Index

The research sequence is listed from the most recent project back to the first published paper. Earlier developmental submissions are retained as summaries where useful to document the evolution of the research program. (Updated 08-16-2026)

Ref Title Journal / Venue Focus Status Document
29 Human Responsibility Under Artificial Intelligence Mediation: Evaluative Capacity and the Conditions of Independent Judgment In Development Examines the responsibility-capacity tension that arises when institutions assign humans responsibility for consequential AI-mediated decisions while also shaping the informational conditions under which that responsibility must be exercised. Develops the normative argument from evaluative dependency to differentiated and proportional responsibility, asking when control, foreseeability, institutional role, and assigned responsibility create reasons to preserve sufficient evaluative capacity for independent judgment. In Development Read Pre-print
28 Evaluability in Artificial Intelligence-Mediated Information: Preserving the Capacity for Independent Assessment Discover Artificial Intelligence – Springer Nature Develops evaluability as the practical capacity of an independent actor to reconstruct and assess the informational foundations of a claim or decision. Distinguishes evaluability from transparency, explainability, provenance, auditability, accountability, contestability, and human oversight, then examines how successive AI-mediated transformations can weaken, preserve, or strengthen independent assessment. Submitted Read Pre-print
26 Linguistic Evaluability: Preserving Independent Judgment in Artificial Intelligence-Mediated Communication Artificial Intelligence Review – Springer Nature Introduces linguistic evaluability as a philosophical dimension of communication concerned with whether language preserves sufficient structure for independent reconstruction and evaluation. Uses E-Prime as a philosophical probe to reveal recurring evaluative functions including agency and attribution, evidence, criteria, context, and qualification, then develops a broader framework for preserving independent judgment in AI-mediated communication. Submitted Read Pre-print
25 Rethinking Transparency in Artificial Intelligence: From Definitions to Functions Discover Artificial Intelligence – Springer Nature Reconstructs the historical convergence of multiple transparency traditions inherited by AI governance, arguing that transparency should be understood according to its informational function rather than as a single universal definition. Introduces a comparative taxonomy of transparency traditions and the concept of transparency profiles. Submitted Read Pre-print
24 Verification as an Epistemic Practice: Toward a Philosophical Account of Independent Knowledge Evaluation Episteme – Cambridge University Press Develops a philosophical account of verification as an independent epistemic practice necessary for evaluating knowledge, preserving intellectual autonomy, and supporting reliable judgment in AI-mediated environments. Under review Read Pre-print
23 Evaluability as a Precondition for Ethical Reasoning in Artificial Intelligence Discover Artificial Intelligence Argues that evaluability is a necessary precondition for ethical reasoning in AI-mediated environments by preserving the ability to reconstruct responsibility, assess decisions, and maintain accountability over time. Rejected with Peer Review Feedback Read Pre-print
22 Distributed Witnessing as an Emerging Informational Condition: A Continuity Architecture for AI-Mediated Societies Discover Artificial Intelligence Distributed witnessing, continuity architecture, society, and AI-mediated informational conditions. Under review Read Pre-print
21 Evaluability in AI-Mediated Systems When Verification Costs More Than Persuasion Discover Artificial Intelligence Evaluability, verification costs, persuasion, and AI-mediated knowledge systems. Rejected with Peer Review Feedback Read Pre-print
20 Historical Intelligibility Under Computational Mediation History and Theory Historical intelligibility, synthetic mediation, reconstruction, and interpretive continuity. Under review Read Pre-print
16 Loss of External Evaluability AI & Society External evaluability, system opacity, and conditions of independent assessment. Editorial Return - Absorbed into future submission Read HTML
15 Systemic Risk and the Breakdown of Evaluation in AI-Mediated Knowledge Systems New Media & Society Systemic risk, evaluation breakdown, knowledge systems, and public understanding. Developmental Submission - Summary Archived Read HTML
14 Uncertainty Limits of Explanation Research portfolio Uncertainty, explanation, interpretive limits, and knowledge conditions. Developmental Submission - Summary Archived Read Summary
13 Verification as Preservation Infrastructure Under AI-Mediated Transformation Postdigital Science and Education Verification, preservation infrastructure, ethics, and AI-mediated transformation. Developmental Submission - Summary Archived Read HTML
12 Missing / Not Used No current public file Number absent from current research portfolio sequence. Missing No file
11 Verification as a Structural Property of AI Knowledge Systems Research portfolio Verification, structure, AI knowledge systems, and institutional reliability. Summary Archived Read Summary
10 Verification in AI-Mediated Information Systems Research portfolio Verification, mediation, information systems, and conditions of trust. Summary Archived Read Summary
09 Verification, Attribution, and Credibility Research portfolio Verification, attribution, credibility, provenance, and evaluative trust. Developmental Submission - Summary Archived Read Summary
08 Monetary Credibility and the Structure of Evaluation in Global Finance Socio-Economic Review Monetary credibility, institutional evaluation, global finance, and social trust. Developmental Submission - Summary Archived Read HTML
07 Verification Architecture of Institutions Research portfolio Institutional verification, architecture, reliability, and public legitimacy. Summary Archived Read Summary
06 Verification as an Epistemic Practice Episteme Verification, epistemic practice, knowledge validation, and social epistemology. Developmental Submission - Summary Archived Read HTML
05 Monetary Credibility and Verification Architecture Research portfolio Monetary credibility, verification architecture, institutional trust, and evaluation. Summary Archived Read Summary
04 Ethical Obligations of Provenance in AI-Scale Knowledge Systems Ethics and Information Technology Provenance, ethical obligation, AI-scale knowledge systems, and accountability. Withdrawn by Author Read HTML
03 Preserving Attribution and Accountability in AI-Scale Systems Discover Artificial Intelligence Attribution, accountability, memory, provenance, and AI-scale systems. Published Read HTML

About the Research

Across this portfolio, recurring questions include how attribution can survive at AI scale, what makes knowledge systems externally evaluable, how synthetic mediation affects historical intelligibility, and what forms of witnessing, provenance, verification, and preservation are needed when memory itself becomes computationally mediated.

The future needs a memory.