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{ "item_title" : "The Path Forward", "item_author" : [" Jason Gabriel Davis "], "item_description" : "The Path Forward presents a radical yet practical architectural solution to AI's governance crisis. Instead of chasing better alignment or ethics-approaches that embed human bias into systems meant to serve everyone-this book proposes structural separation of intelligence from authority. It offers a blueprint for building AI systems whose actions are mathematically provable, legally defensible, and regulatorily compliant from the ground up.AI's transition from advisory to autonomous has created a forensic sufficiency gap: logs, confidence scores, and explanations are not evidence. The only viable path to scalable, trusted AI is through architectural determinism-where intelligence proposes freely, but execution requires binary, deterministic authorization backed by cryptographic proof.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/824/237/9798242379497_b.jpg", "price_data" : { "retail_price" : "14.99", "online_price" : "14.99", "our_price" : "14.99", "club_price" : "14.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Path Forward|Jason Gabriel Davis

The Path Forward : Restructuring AI for Safety, Security & Sovereign Accountability.: A Modern Approach to Modern Autonomous Systems.

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Overview

"The Path Forward" presents a radical yet practical architectural solution to AI's governance crisis. Instead of chasing better alignment or ethics-approaches that embed human bias into systems meant to serve everyone-this book proposes structural separation of intelligence from authority. It offers a blueprint for building AI systems whose actions are mathematically provable, legally defensible, and regulatorily compliant from the ground up.
AI's transition from advisory to autonomous has created a forensic sufficiency gap: logs, confidence scores, and explanations are not evidence. The only viable path to scalable, trusted AI is through architectural determinism-where intelligence proposes freely, but execution requires binary, deterministic authorization backed by cryptographic proof.

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Details

  • ISBN-13: 9798242379497
  • ISBN-10: 9798242379497
  • Publisher: Independently Published
  • Publish Date: January 2026
  • Dimensions: 11 x 8.5 x 0.14 inches
  • Shipping Weight: 0.4 pounds
  • Page Count: 68

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