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0 results for “human-in-the-loop”
Flow-by-Flow:Content-Judgment Bypass for Governing AI Output in High-Loss Domains
Researchers propose 'Flow-by-Flow', a new AI governance paradigm that avoids content judgment by imposing formal, countable cognitive cost constraints on AI output volume and velocity to stay within human supervisory capacity limits.
Aug 11, 2026
Remediating Vulnerabilities With LLMs: Inside Ivanti's Automation Push
Ivanti is experimenting with large language models to automate vulnerability remediation, reporting early promise but acknowledging unresolved cost and human-supervision challenges.
Jul 21, 2026
Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods
A position paper argues that Explainable AI (XAI) research must shift from producing isolated explanation methods to solving foundational problems—like ill-defined objectives, weak evaluation frameworks, and missing human-in-the-loop feedback pipelines—to enable real-world impact.
Jul 18, 2026
Google's Genkit Ships Agents API with Detached Turns and Human-in-the-Loop for TypeScript and Go
Google released a preview version of Genkit's Agents API for TypeScript and Go, offering developers a unified interface for building AI agents with features like disconnected execution and human-in-the-loop resumption.
Jul 14, 2026