AI Governance Textbook Episodes 18–25 Released | The Vacuum of Accountability Across AI Ethics, Safety, and Responsible AI
- kanna qed
- 9 時間前
- 読了時間: 2分
The final chapter (Episodes 18–25) of the video series AI Governance Textbook, now available on YouTube, shows that the central problem of AI governance is not ideals or performance, but the Vacuum of Accountability created by the separation of authority and capability. This chapter explains why AI ethics and Responsible AI cannot, by themselves, protect post-incident accountability, and why responsibility engineering centered on ADIC becomes necessary.
▼ Operated by: AI Accountability Project (GhostDrift Research) https://www.ghostdriftresearch.com/ai-accountability-project
📌 What you will learn in this series
・Why AI ethics and the ideals of "Responsible AI" structurally fail to protect post-incident accountability. ・The mechanics of the "Vacuum of Accountability" and the "Evaporation of Responsibility" caused by the separation of authority and capability. ・The core concept of "Responsibility Engineering": assuming a vacuum exists and protecting responsibility through proactive boundary design. ・"Irreversibility" (post-hoc impossibility) as the highest-order concept in AI governance, and how ADIC implements it structurally.
🎯 Target Audience
Executives responsible for final AI deployment decisions, as well as engineers, researchers, and legal professionals designing real-world operations and audits. This series is for those ready to move beyond abstract guidelines and physically/structurally anchor the "conditions for establishing responsibility" in domains that exceed human verification capabilities.
📺 "AI Governance Textbook" Final Chapter (Episodes 18–25) List
You can watch each episode below.
Episode 18: What is AI Ethics?
Explains why guidelines alone cannot protect post-incident accountability and outlines the minimum structure required to establish true responsibility.
Episode 19: What is Responsible AI?
Examines why ideals are insufficient for determining post-incident responsibility and details the minimum structure needed to solidify it.
Episode 20: What is the Vacuum of Accountability?
Unpacks the structural inevitability of the separation between authority and capability, and the minimum structure required to lock in responsibility upfront.
Episode 21: What is the Evaporation of Responsibility?
Details the structural reasons why responsibility disappears in the AI era and the minimum design necessary to prevent this evaporation.
Episode 22: What is Responsibility Engineering?
Explores the boundary design required to maintain responsibility in AI domains that surpass human verification capabilities.
Episode 23: Why is Responsibility Engineering Necessary?
Addresses the failure to pre-define the conditions for responsibility, introducing boundary design premised on the vacuum of accountability.
Episode 24: What is the Innovation of ADIC?
Explains why operations fail when relying on post-hoc explanations, positioning ADIC as an integrated audit architecture.
Episode 25: What is the Hierarchical Diagram of AI Governance?
Concludes why AI governance must converge on post-hoc impossibility and presents structural design as the ultimate condition for fixing responsibility.
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