paperSeptember 2026Unreviewed

Value-Preserving Architectures for Agentic AI Systems

Alessandro Pesare, Tommaso Dolci, Katja Hose, Emanuel Sallinger

Abstract

The emergence of agentic AI and LLM-based multi-agent systems (MAS) presents unprecedented opportunities for automating complex tasks, while simultaneously raising critical concerns about the preservation of fundamental human-centered values, such as privacy, fairness, and safety. Although software engineering has traditionally focused on functional correctness, the adoption of LLMs and AI agents into complex socio-technical systems has intensified the need for responsible software engineering a

Cite

@misc{pesare2026valuepreserving,
  title = {{Value-Preserving Architectures for Agentic AI Systems}},
  author = {Alessandro Pesare and Tommaso Dolci and Katja Hose and Emanuel Sallinger},
  year = {2026},
  month = sep,
  eprint = {2609.03920},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.03920}
}