# Governance of Autonomous Agents on the Web: Challenges and Opportunities

arXiv: https://arxiv.org/abs/2202.02574 · HTML: https://mlsanity.com/paper/2202.02574/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Feb 2022.

## Built on by (most cited first, 5 of 5)

- [Agentic Business Process Management: A Research Manifesto](https://mlsanity.com/paper/2603.18916/) (2026)
- [Towards Cognitive Bots: Architectural Research Challenges](https://mlsanity.com/paper/2305.17308/) (2023)
- [Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges](https://mlsanity.com/paper/2404.02269/) (2024)
- [Discoverable Agent Knowledge -- A Formal Framework for Agentic KG Affordances (Extended Version)](https://mlsanity.com/paper/2605.19186/) (2026)
- [Behavioral Governance for Autonomous AI Agents: The AgentBound Framework](https://mlsanity.com/paper/2606.30970/) (2026)

## Abstract (arXiv)

The study of autonomous agents has a long tradition in the Multiagent Systems and the Semantic Web communities, with applications ranging from automating business processes to personal assistants. More recently, the Web of Things (WoT), which is an extension of the Internet of Things (IoT) with metadata expressed in Web standards, and its community provide further motivation for pushing the autonomous agents research agenda forward. Although representing and reasoning about norms, policies and preferences is crucial to ensuring that autonomous agents act in a manner that satisfies stakeholder requirements, normative concepts, policies and preferences have yet to be considered as first-class abstractions in Web-based multiagent systems. Towards this end, this paper motivates the need for alignment and joint research across the Multiagent Systems, Semantic Web, and WoT communities, introduces a conceptual framework for governance of autonomous agents on the Web, and identifies several research challenges and opportunities.