New paper details software engineering challenges for AI in building operations

A new paper published on arXiv addresses the software engineering challenges specific to AI-driven building operations. The research highlights that unlike typical digital environments, failures in building control systems have irreversible physical consequences, such as wasted energy or accelerated equipment wear. The paper identifies key missing perspectives in current SE4AI practices and proposes best practices for engineering AI systems in cyber-physical contexts where failures have tangible, lasting impacts. AI

IMPACT Highlights unique software engineering needs for AI in physical systems, potentially influencing development practices for cyber-physical applications.

RANK_REASON The cluster contains a research paper published on arXiv detailing software engineering challenges for AI applications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• CatalyzeX Code Finder for Papers
• CORE Recommender
• DagsHub
• Gotit.pub
• Hugging Face
• Influence Flower
• ScienceCast
• SE4AI
• software engineering

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →