When Robots Negotiate: How Human Tactics Shape AI Deals
Advancing AI Negotiations: New Theory and Evidence from a Large-Scale Autonomous Negotiations Competition Authors: Michelle Vaccaro, Michael Caoson, Harang Ju, Sinan Aral, and Jared R. Curhan
AI governance isn't abstract—it's decisions under constraints. Foundations covers what matters: tech concepts vital to governance (yes, we geek out here), how obligations work in practice, what privacy means for product design, and why frameworks taking shape now determine what you can build next.
Advancing AI Negotiations: New Theory and Evidence from a Large-Scale Autonomous Negotiations Competition Authors: Michelle Vaccaro, Michael Caoson, Harang Ju, Sinan Aral, and Jared R. Curhan
You can't eliminate non-determinism in LLMs, and you shouldn't try. The goal is management, not elimination.
Most teams building agentic AI are trying to make LLMs do something they're fundamentally bad at: making consistent, defensible business decisions. Decision platforms were built for this exact problem - and most teams don't know they exist.
At its core, AI red teaming is a multidisciplinary, creative, and interactive process of investigation
The A2A protocol is a standard for collaboration, authentication, and communication between independent AI agents.
Show me the decision logic. Not a vague explanation. An actual specification.
As Artificial Intelligence (AI) becomes more integrated into our daily lives, from recommending movies to assisting in medical diagnoses, we need to have a similar, yet much deeper, level of trust in these complex systems.
The Promise and Peril of an AI Jury