Frank C. Gahl

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...

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...

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...

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...

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...