Frank C. Gahl

Arms Exports and Security Production Networks: Reassessing Economic Dependence Forty Years Later

Strategic decisions can create military industries whose firms, workers and communities acquire economic reasons to preserve the activity those decisions began. Smith, Humm and Fontanel identified this mechanism in 1985. Forty years later, how do connected production and support...

The Civilization That Remembers Everything: Artificial Intelligence, Mediated Memory and Reconstructive Capacity

As artificial intelligence becomes an ordinary interface to institutional and public records, societies may preserve unprecedented quantities of information while losing the relationships that make inherited judgments examinable. This conceptual article develops civilisational re...

Distributed Witnessing in Artificial Intelligence-Mediated Societies: A Conceptual Model for Historical Continuity

Artificial intelligence increasingly mediates how observations are selected, summarized, linked, retrieved, interpreted, and disseminated at speeds and scales beyond human review. This development creates a continuity problem: information may remain available while the provenance...

Distributed Witnessing in Artificial Intelligence-Mediated Societies: A Conceptual Model for Historical Continuity

Artificial intelligence increasingly mediates how observations are selected, summarized, linked, retrieved, interpreted, and disseminated at speeds and scales beyond human review. This development creates a continuity problem: information may remain available while the provenance...

Memory, Forgetting, and the Right to Revision: Artificial Intelligence and the Continuing Authority of the Past

Accurate records protect accountability, but they can also govern people after the conditions they describe have changed. AI systems can retrieve, combine, infer from, and repeatedly circulate historical representations faster than evidence of later change can follow. A person ma...

Progress Without an Enemy War Shaped Innovation and the Constructive Mobilization Problem

War has accelerated selected technologies, but acceleration does not establish that war is necessary for progress. This conceptual article asks which mobilizing capacities states assemble under threat and whether institutions can sustain them for peaceful public purposes. It dist...

The Civilization That Remembers Everything: Artificial Intelligence, Mediated Memory and Reconstructive Capacity

As artificial intelligence becomes an ordinary interface to institutional and public records, societies may preserve unprecedented quantities of information while losing the relationships that make inherited judgments examinable. This conceptual article develops civilisational re...

Rethinking Transparency in Artificial Intelligence: From Definitions to Functions

Transparency has become one of the defining principles of contemporary artificial intelligence governance, appearing throughout legislation, standards, regulatory frameworks, and ethical guidelines. Yet despite this widespread consensus, AI transparency remains conceptually unsta...

Epistemic Compression in Artificial Intelligence Mediated Communication: Preserving Reconstructive Structure Under Successive AI Transformation

Artificial intelligence increasingly mediates information through successive transformations involving retrieval, ranking, summarization, synthesis, recommendation, and reuse. These transformations can preserve accurate conclusions while altering the relationships through which t...

Evaluability in Artificial Intelligence-Mediated Information: Preserving the Capacity for Independent Assessment

Artificial intelligence increasingly mediates the information through which people form and assess consequential judgments. Existing concepts including transparency, explainability, provenance, auditability, accountability, contestability, and human oversight address important di...

Verification as an Epistemic Practice: Toward a Philosophical Account of Independent Knowledge Evaluation

Verification occupies a central role in scientific inquiry, historical investigation, legal reasoning, computation, and many other domains of knowledge, yet it has rarely been examined as an epistemic practice in its own right. Philosophical discussions have instead approached ve...

Linguistic Evaluability: Preserving Independent Judgment in Artificial Intelligence-Mediated Communication

Artificial intelligence increasingly mediates the language through which societies communicate, interpret, and evaluate knowledge. Existing AI governance approaches emphasize transparency, accountability, documentation, verification, and explanation, yet these mechanisms depend u...

Verification as an Epistemic Practice: Toward a Philosophical Account of Independent Knowledge Evaluation

Verification occupies a central role in scientific inquiry, historical investigation, legal reasoning, computation, and many other domains of knowledge, yet it has rarely been examined as an epistemic practice in its own right. Philosophical discussions have instead approached ve...

Evaluability as a Precondition for Ethical Reasoning in Artificial Intelligence

Contemporary AI ethics has developed a robust normative framework emphasizing fairness, accountability, transparency, explainability, governance, and meaningful human oversight. These principles seek to ensure that increasingly capable AI systems remain subject to responsible hum...

Rethinking Transparency in Artificial Intelligence: From Definitions to Functions

Transparency has become one of the defining principles of contemporary artificial intelligence governance, appearing throughout legislation, standards, regulatory frameworks, and ethical guidelines. Yet despite this widespread consensus, AI transparency remains conceptually unsta...

Linguistic Evaluability: Preserving Independent Judgment in Artificial Intelligence-Mediated Communication

Artificial intelligence increasingly mediates the language through which societies communicate, interpret, and evaluate knowledge. Existing AI governance approaches emphasize transparency, accountability, documentation, verification, and explanation, yet these mechanisms depend u...

Evaluability as a Precondition for Ethical Reasoning in Artificial Intelligence

Contemporary AI ethics has developed a robust normative framework emphasizing fairness, accountability, transparency, explainability, governance, and meaningful human oversight. These principles seek to ensure that increasingly capable AI systems remain subject to responsible hum...