On March 18, 2026, the French Corporate Community (FCC), established in 2020 under governmental impetus to champion sovereign projects and stimulate the national economy, convened networking breakfast entitled “IA : l’envers du décor” (AI: Behind the Scenes) at Artefact Headquarters.

The discussion, led by Hubert Etienne (CEO Quintessence AI, Former Responsible AI Officer at Meta, expert in AI ethics and data economics) and Jérémie Cornet-Vuckovic (Partner Financial Services Industry at Artefact), moved beyond theory to address the industrial reality of the transition from AI Ethics to Responsible AI.

Defining the Framework: Responsibility as Technical Necessity

A core takeaway from the forum was the sharp distinction between moral philosophy and operational excellence. While AI Ethics pertains to the values a company chooses to uphold, Responsible AI is a technical requirement. As Hubert Etienne noted, responsibility is about ensuring teams use models exactly as intended to achieve predictable results.

This technical mastery extends to the management of algorithmic bias. Rather than viewing bias solely as a social grievance, the experts defined it as a statistical reality-the gap between observation and target. Artefact emphasizes that sovereignty requires the rejection of “regulatory exportation.” Relying on US-centric “protected categories” (such as race or gender) often fails to address local priorities like socio-economic discrimination, which is vital for European credit scoring and financial integrity.

Strategic Sovereignty: the three-tier model

True sovereignty is defined by the ability to maintain choice through independent research. Jérémie Cornet-Vuckovic outlined Artefact’s strategic three-tier model for infrastructure governance:

  • Low risk: public cloud (Google/Azure) for non-sensitive linguistic tasks and marketing.
  • Moderate risk: local players (e.g., Mistral) or on-premise solutions for internal data and routing.
  • High risk: proprietary ML models developed in-house for core banking, anti-fraud, and highly regulated processes.

This framework ensures that even if data is hosted in Europe, companies remain protected against external regulatory demands (such as those governing US-based providers) by maintaining technological autonomy.

Economic Frugality and the Environmental Rebound

The forum challenged the narrative of “green AI,” suggesting that environmental “sobriety” is currently a byproduct of economic frugality. Because high-parameter models are prohibitively expensive, companies are naturally gravitating toward smaller, more efficient models to secure ROI. However, Artefact warns of the “rebound effect”—where a more efficient technology (like autonomous vehicles) could lead to an explosion in total usage, ultimately increasing net energy consumption.

The Future of Work

The impact of AI on the workforce is transformative but volatile. In corporate banking, AI can automate 80% of the credit memo process. This efficiency creates a paradox: while it allows staff to focus on high-value client relationships, it poses a risk of 30-40% structural unemployment.

An Excellence-Based Model

The next five years will be defined by uncertainty. Artefact’s strategy focuses on Agility and Feedback: creating internal mechanisms to detect and treat emerging risks while building a European model that prioritizes technical quality and identity over mass-market consumption. Through this partnership with the FCC, Artefact continues to bridge the gap between technological potential and sovereign value.