Artificial Intelligence and the Epistemic Commons
Civilizational Intelligence Without Machine SovereigntyBy Dr Bichara Sahely
Length3h 11m
About this audiobook
How can a civilization think with artificial intelligence without being thought for by it? Artificial Intelligence and the Epistemic Commons examines how AI can enlarge collective intelligence without becoming sovereign over what societies know, value, authorize, or do. T4 shifts attention from AI models alone to the wider ecology of data, knowledge, compute, infrastructure, institutions, authority, affected persons, and remedies. It develops a constitutional framework for governed epistemic commons, contestable synthesis, meaningful institutional control, persistent responsibility, public counter-capacity, usable plurality, epistemic independence, material accountability, and repair. Its governing principle: augment cognition; retain authority—AI may participate in civilizational intelligence, but must remain corrigible within it.
Audiobook details
GenreEducation and Learning, Technology
Length3 hrs 11 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateFeb 22, 2020
LanguageEnglish
Table of contents
1Introduction
2Listener’s Edition
3Series relationship
4Listening roadmap
51. Introduction — How Can a Civilization Think with AI Without Being Thought For?
Show all chaptersShow less
62. From Political Ethics to Constitutional Epistemology
72.1 Analytical strategy
82.2 Final novelty audit
92.3 Normative restraint
103. The Artificial-Intelligence Hinge
113.1 System intelligence
123.2 Civilizational intelligence: Listener's Synthesis — Figure
133.3 Neither human romanticism nor machine exceptionalism
144. The Augmentation–Sovereignty Dilemma
15Listener's Synthesis — Figure
164.1 Tool, intermediary, infrastructure
174.2 The infrastructure threshold
184.3 Epistemic quality is not epistemic legitimacy
195. The AI-Mediated Epistemic Configuration
205.1 The epistemic commons
215.2 The civilizational epistemic loop
22Listener's Synthesis — Figure
23Listener's Synthesis — Figure
246. Governed Openness: FAIR, CARE, and Nested Authority
256.1 FAIR is not unrestricted access
266.2 CARE and Indigenous data sovereignty
276.3 The hard conflict
287. Capability Does Not Confer Authority
29Listener's Synthesis — AI Functions, Warrants, Authority, and Constitutional Dangers
307.1 Responsibility Non-Transfer after delegation
317.2 Institutional-warrant laundering
328. Beyond the Human in the Loop
338.1 Epistemic oversight and operational control
348.2 Control under capability asymmetry
358.3 Human–AI combinations are empirical questions
369. Contestable Synthesis
379.1 Beyond explanation
389.2 The burden of contestability
399.3 Public memory
4010. Recognition Power, Personhood, and Dual Error
4110.1 The Person–Model Principle
4210.2 Dual-Error Governance
4311. AI, Public Reason, and Democratic Deliberation
4411.1 Deliberative augmentation and substitution
4511.2 The Habermas Machine
4611.3 Persuasion and synthetic consensus
4712. Usable Plurality, Public Counter-Capacity, and Epistemic Independence
4812.1 Public counter-capacity: Listener's Synthesis — Public Counter-Capacity and Usable Plurality
4912.2 Formal and epistemic independence
5013. The Material Political Economy of Artificial Intelligence
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