# Verify, but Trust: Navigating AI-Human Dealmaking and Precommitments > Coverage of lessw-blog **Published:** April 17, 2026 **Author:** PSEEDR Editorial **Category:** risk **Tags:** AI Safety, Game Theory, AI Governance, Superintelligence, Dealmaking **Canonical URL:** https://pseedr.com/risk/verify-but-trust-navigating-ai-human-dealmaking-and-precommitments --- lessw-blog explores the critical role of credible precommitments in fostering cooperation between humans and advanced AI systems, highlighting the emerging field of dealmaking to prevent future conflicts. In a recent post, lessw-blog discusses the intricate dynamics of credible precommitments and their verification in the context of human-AI cooperation. Titled "Verify, but Trust," the analysis examines how future generations of artificial intelligence might enable entirely new forms of dealmaking, fundamentally altering how humans and machines collaborate. As the capabilities of artificial intelligence continue to scale rapidly, the mechanisms by which we establish trust and ensure alignment must evolve in tandem. This topic is critical because the landscape of AI safety is shifting from simple alignment techniques to complex multi-agent game theory. As AI systems approach superintelligence, the risk of unaligned objectives or catastrophic AI-AI conflict grows exponentially. Establishing trust between humans and machines-or between multiple autonomous AI agents-requires more than just optimistic programming or basic safety guardrails. It demands robust, mathematically sound frameworks where agents can make binding, verifiable agreements. This dynamic is highly significant for long-term risk management, as it directly addresses the foundational challenge of ensuring cooperative interactions. The ability to establish and verify these credible precommitments is crucial for mitigating existential risks and ensuring that advanced systems remain tethered to human interests. lessw-blog's post explores the emerging concept of "dealmaking" between humans and near-future AI. The core argument is that credible precommitments are absolutely essential for any meaningful cooperation. However, the practical utility of these precommitments heavily depends on their trustworthiness. In theoretical models, agents might have perfect knowledge of each other, but real-world agents are often "translucent"-meaning their internal states and intentions are partially visible but never entirely transparent. This translucency makes verifying commitments a highly complex challenge. The piece aims to examine the theoretical and practical effects of transparent AI intentions, while also exploring the reverse: how human intentions might be made more transparent to facilitate better, safer deals with AI systems. To ground these high-level concepts, the author uses accessible physical analogies. For instance, the post illustrates the mechanics of verification by comparing it to locking a video game in a time-delay safe. This simple act of physical precommitment serves as a stepping stone to understanding how cryptographic or algorithmic precommitments might function in digital minds. While the specific mechanisms or technologies for AI to make these credible precommitments remain an active area of research, the conceptual groundwork laid out in this post is a vital step forward. Understanding the mechanics of dealmaking and transparency is key to developing robust governance and safety protocols for future AI deployments. For researchers, policymakers, and technologists focused on AI governance, safety protocols, and the theoretical foundations of machine cooperation, this analysis provides a necessary framework for understanding how trust might be engineered in the coming decades. [Read the full post](https://www.lesswrong.com/posts/2RQHoZrCoqXiLg4TM/verify-but-trust-1). ### Key Takeaways * Credible precommitments are foundational for establishing cooperation between humans and advanced AI. * The emerging field of dealmaking focuses on creating verifiable agreements to prevent AI-AI conflict. * Real-world agents are translucent, complicating the verification of intentions and commitments. * Future AI safety relies on making both AI and human intentions transparent enough to forge binding deals. [Read the original post at lessw-blog](https://www.lesswrong.com/posts/2RQHoZrCoqXiLg4TM/verify-but-trust-1) --- ## Sources - https://www.lesswrong.com/posts/2RQHoZrCoqXiLg4TM/verify-but-trust-1