- Building trustworthiness for artificial intelligence
Artificial Intelligence
The AI Trustworthiness Framework will serve as an entry point for industries and SMEs in order to facilitate this process, fostering conformity and facilitating industry competitiveness.
The AI Trustworthiness Framework will reinforce social trust in AI systems, by providing companies, consumers and ultimately citizens with a clear understanding of the fundamental requirements for trustworthy AI.
- New standard development
- Building trustworthiness for artificial intelligence
The AI Trustworthiness Framework will serve as an entry point for industries and SMEs in order to facilitate this process, fostering conformity and facilitating industry competitiveness.
The AI Trustworthiness Framework will reinforce social trust in AI systems, by providing companies, consumers and ultimately citizens with a clear understanding of the fundamental requirements for trustworthy AI.
- New standard development
- The AI Trustworthiness Framework - delivering a harmonized standard for the EU AI Act
Artificial Intelligence
Industries and SMEs in the EU are facilitated in adopting standards. One of the main barriers for standard adoption is the complexity of the standardisation processes. In order to claim conformity, multiple requirements coming from multiple standards should be met. The AI Trustworthiness Framework will serve as an entry point for industries and SMEs in order to facilitate this process, fostering conformity and facilitating industry competitiveness.
Trustworthiness fosters social acceptance. One of the outstanding barriers in the deployment of innovative technologies is social acceptance. This barrier damages both the economic benefits and the social benefits of designing innovative AI systems. The AI Trustworthiness Framework will reinforce social trust in AI systems, by providing companies, consumers and ultimately citizens with a clear understanding of the fundamental requirements for trustworthy AI.
- development of the AI Trustworthiness Framework within CEN-CENELEC JTC21 WG4 and supports ISO/IEC work on human oversight.
Artificial Intelligence
The framework simplifies compliance by serving as a single reference point for multiple obligations under the AI Act. This helps SMEs adopt standards more easily, reducing barriers and supporting competitiveness through clearer, harmonized guidance.
By clarifying what makes AI trustworthy and aligning it with EU values, the project increases public trust and supports responsible innovation. It also helps make ethics a professional role, reinforcing societal oversight over AI technologies.
- "AI Trustworthiness Framework" - Delivering a harmonized standard for the EU AI Act
Artificial Intelligence
At the level of AI providers, and in particular SMEs, the primary impact lies in reducing regulatory uncertainty and compliance costs. By translating high-level legal obligations into concrete, auditable technical requirements, the AI Trustworthiness Framework enables providers to integrate compliance into product development processes in a structured and predictable manner. This reduces reliance on ad hoc legal interpretation and external consultancy, lowers barriers to entry in regulated markets, and supports shorter time-to-market for compliant AI systems. The availability of a harmonised standard offering presumption of conformity is particularly relevant for SMEs, which often lack the resources to navigate fragmented national interpretations of EU law.
For notified bodies and conformity assessment providers, the activity delivers a stable and authoritative technical reference for assessing compliance with Articles 12 to 15 of the AI Act. The standard reduces interpretative ambiguity by defining common assessment criteria, documentation expectations, and evaluation practices. This increases consistency across conformity assessments, improves efficiency, and lowers the risk of divergent outcomes or disputes. In addition, the standard provides a concrete basis for training auditors and technical experts, contributing to capacity building within the European conformity assessment ecosystem at a critical moment of regulatory rollout.
- New standard development
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CEN-CENELEC JTC21 WG4 "AI Trustworthiness Framework"
Value of Research
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Role: chair
Title & Organisation Name: Researcher in AI Ethics, Co-Founder of DEXAI – Artificial Ethics, Italian Interuniversity Consortium for Computer Science
Country: Italy
