The evolution of artificial intelligence is no longer measured solely by the power of language models, but also by how they integrate into our daily lives. A major transition is underway: we are moving from reactive AI, prompted by text or voice commands, to ambient AI, embedded in wearable physical devices. Recently, reports shared by the specialized site TechCrunch revealed that Meta is working on developing an AI-powered pendant capable of recording and analyzing the wearer's conversations throughout the day.
This announcement is part of a broader trend of multiplying personal sensors, illustrated by the rollout of smart glasses equipped with cameras and microphones. However, this technological ubiquity raises serious concerns among regulators. In Europe, the Commission nationale de l'informatique et des libertés (CNIL) has warned of the major risks these devices pose to privacy, particularly regarding the capture of third-party data without their knowledge. Meanwhile, controversies are emerging around workplace surveillance, as reported by Engadget investigations into tools that analyze employee mouse movements, raising compliance questions under the General Data Protection Regulation (GDPR).
The Risks of Passive and Continuous Capture
Ambient AI relies on a simple yet intrusive operating principle: the continuous recording of the environment. To function effectively, these devices must keep their microphones or cameras permanently activated. The audio and visual feeds are then transmitted to remote servers to be transcribed, analyzed, and transformed into usable data for language models. This mechanism raises a fundamental ethical and legal issue: consent.
Unlike a computer or a smartphone where the user deliberately chooses to open an application, a smart device passively captures everything within its range. In Quebec, Law 25 strictly regulates the collection of personal information, requiring clear, free, and informed consent. But how do you obtain the consent of a colleague, a passerby, or a child whose voice is recorded by an AI pendant or smart glasses? The risk of drifting toward passive, invisible mass surveillance becomes very real.
Furthermore, centralizing raw, unfiltered data on the infrastructure of tech giants significantly increases the attack surface. A data breach on these servers would reveal not just search queries, but entire segments of private life, trade secrets shared during a meeting, or sensitive medical information spoken aloud.
The Alternative of Explicit and Transparent Action
Faced with this passive intrusion model, an alternative approach to artificial intelligence is not only possible but necessary to preserve data sovereignty. This philosophy is based on a simple principle: AI must only act upon the explicit command of the user, within an environment where every data flow is auditable.
This is precisely the vision offered by the Quebec-based platform ProductivIA. Unlike ambient AI systems that capture data in the background, ProductivIA operates on a voluntary activation model. The central application, the Assistant, does not listen to or record anything without the user's knowledge. It orchestrates tasks and calls upon services from other platform applications only when directly requested.
This transparency is concretely reflected in the Nuage application. Within the ProductivIA ecosystem, every file, voluntary transcription, and generated document is stored in a visible, structured manner within a transparent storage space. The user or organization administrator can view, export, or delete this data at any time. There is no hidden telemetry and no invisible processing designed to train third-party models without authorization.
A Sovereign Stack for End-to-End Control
For organizations subject to strict regulatory requirements, such as public institutions or the education sector, this architectural rigour is essential. By pairing the ProductivIA application platform with the sovereign AI engine Matania, hosted locally in Quebec, the data flows generated by the Assistant remain confined to the infrastructure chosen by the organization. No opaque cross-border transit occurs, ensuring full compliance with Law 25.
This control logic can also extend to hardware. While commercial operating systems increasingly integrate continuous screenshot tools and mandatory telemetry, using a native operating system like Boréal-OS helps secure the physical workstation. By installing Boréal-OS directly on the hard drive, organizations equip themselves with an environment free of spyware, while extending the useful life of their computers.
True AI-assisted productivity does not require us to surrender our privacy to intrusive smart devices. On the contrary, it relies on precise, transparent, and consent-respecting tools, where humans remain the sole initiators of action.