AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
EvidenceToEffect E2E-17 develops a semantic model for human approval, delegation, oversight, intervention, and accountability in consequential systems, including AI-agent contexts. The paper addresses a common analytical problem: “human in the loop” is often treated as a sufficient answer to autonomy risk even though t...
EvidenceToEffect E2E-17 develops a semantic model for human approval, delegation, oversight, intervention, and accountability in consequential systems, including AI-agent contexts. The paper addresses a common analytical problem: “human in the loop” is often treated as a sufficient answer to autonomy risk even though t...
Execution Governance for Physical AI v1.1.0 presents a cumulative EG1–EG6 research profile for governing consequential physical effects produced by robots, autonomous machines, smart spaces, vehicles, drones, industrial automation, and other cyber-physical systems. Physical AI moves AI-mediated decisions across a bound...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.