AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 3 of 7 papers
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.
Value alignment is a central objective in AI and HCI research, yet no validated instrument measures how users perceive it. This gap hampers the comparison and accumulation of findings and limits the effectiveness of applications, where understanding users'viewpoints is critical. We construct and evaluate a 13-item psyc...
It is argued that Fantasia interactions demand a rethinking of alignment research, where AI systems optimize how cognitive responsibility is allocated within an interaction, and highlights gaps in state-of-the-art alignment methods.
MatrAIx is introduced, a population-scale simulated-user evaluation infrastructure for testing AI systems and digital products with heterogeneous users and provides an end-to-end infrastructure for evaluating AI systems and digital products with diverse simulated human users.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.