Model and Mechanisms of Consent for Responsible Autonomy

Model and Mechanisms of Consent for Responsible Autonomy. Apeiron, A. S., Dell'Anna, D., Murukannaiah, P. K., & Yolum, P. In Proceedings of the 24th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2025, 2025.

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Socio-technical systems rely on human and software agents exercising their autonomy at the right time with the right limits. This requires each agent to know what they can do, when they need help or resources from others, and how they need to interact with others to use these resources. In order to facilitate responsible autonomy, we advocate for the use of consent as an abstraction. Although consent has been a part of the software ecosystem, there has been little work to understand its dynamics formally, and to devise mechanisms to use it in facilitating autonomy. We propose a formal representation of consent based on its philosophical roots, a life-cycle to capture its evolution over interactions, and algorithms to express the consent mechanisms computationally. Following this, we demonstrate how this representation can model and detect various realistic autonomy violations on the web using a real-life example. Finally, we demonstrate a mechanism to enable consent to regulate the appropriate use of autonomy dynamically.

@inproceedings{DBLP:conf/atal/ApeironDMY25,
  author    = {Anastasia S. Apeiron and
               Davide Dell'Anna and
               Pradeep K. Murukannaiah and
               Pinar Yolum},
  title     = {Model and Mechanisms of Consent for Responsible Autonomy},
  booktitle = {Proceedings of the 24th International Conference on Autonomous Agents
               and MultiAgent Systems, {AAMAS} 2025},
  year = {2025},
  url_Link = {https://dl.acm.org/doi/abs/10.5555/3709347.3743525},
  url_Paper = {https://dl.acm.org/doi/pdf/10.5555/3709347.3743525},
  keywords  = {Consent, Socio-Technical Systems, Norms, Privacy},
  abstract = {Socio-technical systems rely on human and software agents exercising their autonomy at the right time with the right limits. This requires each agent to know what they can do, when they need help or resources from others, and how they need to interact with others to use these resources. In order to facilitate responsible autonomy, we advocate for the use of consent as an abstraction. Although consent has been a part of the software ecosystem, there has been little work to understand its dynamics formally, and to devise mechanisms to use it in facilitating autonomy. We propose a formal representation of consent based on its philosophical roots, a life-cycle to capture its evolution over interactions, and algorithms to express the consent mechanisms computationally. Following this, we demonstrate how this representation can model and detect various realistic autonomy violations on the web using a real-life example. Finally, we demonstrate a mechanism to enable consent to regulate the appropriate use of autonomy dynamically.}
}

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