Major hyperscalers and artificial intelligence hardware/model vendors—exemplified by mass-promoted public campaigns such as the "Google AI Challenge" and targeted contest solicitations by NVIDIA directed at early adopters of frontier generative video systems (e.g., OpenAI Sora early adopters)—increasingly deploy public "innovation challenges" as low-cost instruments for speculative Research and Development (R&D) extraction. Under benevolent marketing slogans inviting the public to "shape the future with AI," these mechanisms induce independent researchers, domain pioneers, and particularly young creators to disclose proprietary problem formulations, prompt architectures, workflow topologies, and high-value edge cases without bilateral compensation guarantees. Through adhesive Terms and Conditions containing broad royalty-free usage licenses and waivers against "independent similar development," platform operators internalize high-entropy external intellectual property (IP) while externalizing R&D capital risk. Grounded in formal public-interest advocacy and defensive consultations initiated with statutory intellectual property authorities and legal counsel—specifically the INPIT Yamaguchi Prefectural Intellectual Property Comprehensive Support Window (Dr. Hiroko Kaneko, Ph.D. in Engineering, Yamaguchi Prefectural Industrial Promotion Foundation) and the Yamaguchi Bar Association (Attorney Atsuhiko Taniguchi)—to protect next-generation creators from systemic exploitation, this monograph establishes a rigorous mathematical, statutory, and cryptographic framework to permanently neutralize predatory AI crowdsourcing. We formalize the Asymmetric R&D Extraction Inequality, demonstrate the statutory invalidity and fiduciary liability of adhesive contest waivers under Japanese Civil Code Article 90, Antimonopoly Act Article 2(9)(v), Unfair Competition Prevention Act Article 2(1)(vii), U.S. SEC Rule 15c3-5, and Delaware Caremark standards, and specify a deterministic hardware interlock over the 64-bit Goldilocks prime field F_p (p = 2^64 - 2^32 + 1) via QFS-zkVM, Q-SAFA, and PHOENIX_BRIDGE. Autonomous Infrastructure & Deterministic Quantum Systems Monograph Series Author: Hasebe, Yoko (長谷部 洋子) Affiliation: Lead Researcher, Autonomous Infrastructure Systems, Autonomous Living & Physical Infrastructure Institute, Iwakuni, Yamaguchi, Japan License & Integrity Covenant: Creative Commons Attribution 4.0 International (CC BY 4.0) with Strict No-Learn Covenant (NLL-v1.0-2026)
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Yoko(洋子) Hasebe(長谷部) (2026) studied this question.
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