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ARKANE Joins the Hiroshima AI Process (HAIP) Transparency Initiative

Trustworthy embedded AI for critical systems and infrastructure. On 29 May 2026, following the G7 Digital Ministers’ Meeting in Bercy (held under the French presidency), ARKANE was named among 56 organizations — ranging from SMEs to major corporations — that have committed to completing the Hiroshima AI Process (HAIP) reporting framework.

Alongside players such as Mistral AI, Dassault Systèmes, Safran.AI, Capgemini, Microsoft, and OpenAI, ARKANE is committing to publicly document its AI governance and risk-management practices. 

What Is the Hiroshima AI Process for AI?

Launched by the G7 in 2023, the Hiroshima AI Process resulted in an International Code of Conduct for Organizations Developing Advanced AI Systems, built around eleven actions covering risk management across the AI lifecycle, transparency, security, content authentication, governance, and data protection.

In February 2025, the OECD translated these principles into a Reporting Framework — a voluntary, standardized tool enabling organizations to publicly report on how they implement these principles. It is neither a label nor a certification, but a transparency initiative designed to make AI practices comparable across organizations.

For ARKANE, Trustworthy AI Starts with Engineering

ARKANE designs frugal embedded AI for signal processing, antenna systems, and wireless protocols, primarily serving customers in the aerospace and defense sectors.

In these industries, trust cannot simply be declared — it has to be proven. Robustness under real-world operating conditions, risk management across the full product lifecycle, model security, and explainability are engineering requirements, aligned with standards such as DO-178C and the EASA AI Roadmap. Here, explainable AI (XAI) is used as a reliability tool rather than a retrospective justification.

For ARKANE, joining the HAIP reporting initiative means formalizing, at an international standard, a practice that is already central to how the company operates.

A Natural Extension of Our Commitments

This commitment builds naturally on ARKANE’s existing positioning:

  • “AI Pioneers” award winner (France 2030 / P2IA) — recognition of ARKANE’s innovation capacity in AI applied to demanding use cases.
  • Bpifrance Deep Tech label — a mark of strong technological and scientific depth.
  • AI for critical infrastructure resilience — a priority identified by the tech industry in the “Cybersecurity and Critical Infrastructure Resilience” section of the TECH7 recommendations to the G7.

ARKANE also took part in the TECH7 Summit (28 May 2026), the forum bringing together the leading digital-industry associations from the G7 and the EU, which issues annual recommendations to G7 leaders.

Our Practices, in Concrete Terms

Our approach to trustworthy AI translates into concrete, day-to-day practices:

  • Lifecycle risk governance: identifying, assessing, and mitigating risks from design through embedded deployment.
  • Robustness and reliability: validation under representative operational conditions, consistent with our sectors’ certification requirements.
  • Explainability (XAI) used as an engineering lever to strengthen hybrid AI / signal-processing pipelines.
  • Frugality: optimized models (compression, quantization) designed to run under tight embedded resource constraints (Size, Weight, and Power — SWaP).
  • Data security and governance: internal data-protection and security rules tailored to the sensitivity of our projects.
 
 

What Comes Next

This declaration is the first step. The next will be completing our HAIP report, to be published on the OECD platform, mapping our practices against the Code of Conduct’s eleven actions and turning our commitment made in Bercy into demonstrated proof.

Further reading:

 

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