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From Chat Control to Robot Control: The Backdoors Left Open for the Sake of Safety

Neziha Akalin, Alberto Giaretta

TL;DR

The paper analyzes how the EU's Chat Control proposal could extend surveillance into embodied human-robot interaction, risking privacy, autonomy, and trust in settings like care and education. It dissectes the risk-based ICS framework and its Council revisions, highlighting how residual risk, vague localization requirements, and broad definitions could push regulation into everyday robots. The authors identify concrete backdoor modalities—data exfiltration and control channels via hardware, software, and learning models—and illustrate potential harms through speculative scenarios, including a care robot that reports intimate interactions. They argue for governance that emphasizes transparency, local-first processing, and human oversight to preserve robots as trusted partners rather than surveillance instruments.

Abstract

This paper explores how a recent European Union proposal, the so-called Chat Control law, which creates regulatory incentives for providers to implement content detection and communication scanning, could transform the foundations of human-robot interaction (HRI). As robots increasingly act as interpersonal communication channels in care, education, and telepresence, they convey not only speech but also gesture, emotion, and contextual cues. We argue that extending digital surveillance laws to such embodied systems would entail continuous monitoring, embedding observation into the very design of everyday robots. This regulation blurs the line between protection and control, turning companions into potential informants. At the same time, monitoring mechanisms that undermine end-to-end encryption function as de facto backdoors, expanding the attack surface and allowing adversaries to exploit legally induced monitoring infrastructures. This creates a paradox of safety through insecurity: systems introduced to protect users may instead compromise their privacy, autonomy, and trust. This work does not aim to predict the future, but to raise awareness and help prevent certain futures from materialising.

From Chat Control to Robot Control: The Backdoors Left Open for the Sake of Safety

TL;DR

The paper analyzes how the EU's Chat Control proposal could extend surveillance into embodied human-robot interaction, risking privacy, autonomy, and trust in settings like care and education. It dissectes the risk-based ICS framework and its Council revisions, highlighting how residual risk, vague localization requirements, and broad definitions could push regulation into everyday robots. The authors identify concrete backdoor modalities—data exfiltration and control channels via hardware, software, and learning models—and illustrate potential harms through speculative scenarios, including a care robot that reports intimate interactions. They argue for governance that emphasizes transparency, local-first processing, and human oversight to preserve robots as trusted partners rather than surveillance instruments.

Abstract

This paper explores how a recent European Union proposal, the so-called Chat Control law, which creates regulatory incentives for providers to implement content detection and communication scanning, could transform the foundations of human-robot interaction (HRI). As robots increasingly act as interpersonal communication channels in care, education, and telepresence, they convey not only speech but also gesture, emotion, and contextual cues. We argue that extending digital surveillance laws to such embodied systems would entail continuous monitoring, embedding observation into the very design of everyday robots. This regulation blurs the line between protection and control, turning companions into potential informants. At the same time, monitoring mechanisms that undermine end-to-end encryption function as de facto backdoors, expanding the attack surface and allowing adversaries to exploit legally induced monitoring infrastructures. This creates a paradox of safety through insecurity: systems introduced to protect users may instead compromise their privacy, autonomy, and trust. This work does not aim to predict the future, but to raise awareness and help prevent certain futures from materialising.
Paper Structure (10 sections, 2 figures)

This paper contains 10 sections, 2 figures.

Table of Contents

  1. Introduction
  2. The Chat Control Law
  3. From Street Cameras to Living Rooms
  4. From Messaging Apps to Embodied Systems
  5. From Surveillance to Exploitation
  6. Data Exfiltration Backdoors
  7. Control Backdoors
  8. The Robots That Must Never Be
  9. A Day Under Chat Control
  10. Conclusion

Figures (2)

  • Figure 1: The continuum of surveillance, from watching public spaces, to listening in private communications, to acting within embodied environments.
  • Figure 2: Conceptual illustration of a speculative future where domestic robots, designed for care and companionship, become instruments of observation. Image generated by the author using ChatGPT (GPT-5) image generation tools.