- Journey Towards Ethical AI: A European Perspective on Nudging, Competence, and Ethics Roadmap
Artificial Intelligence
Establish requirements and ethical guidelines for AI nudging, particularly for vulnerable groups providing requirements, definitions and methodologies that safeguard individual free will, benefiting organisations, and consumers.
Using distributed morality mechanisms on multi-agent systems, we aim to mitigate risks and assist the industry in fostering an ethical ecosystem, thereby facilitating the implementation of EU regulatory requirements.
- New standard development
- Navigating AI Ethics: Insights on AI Nudges, AI Competencies, Trust and Ethics Roadmap in EU
Artificial Intelligence
The work on ethics helps SME to apply guidelines or choose qualified professionals in the AI ethics field.
Establishing a uniform language, processes, and ethical methods to regulate their application is paramount to avert unintentional harm and protect vulnerable demographics.
- New standard development
- The EU Path to AI: AI Trustworthiness, AI Ethics, Green & Sustainability AI, Fundamental Rights
Artificial Intelligence
The ethical standards initiatives are particularly important for SMEs, as they provide the necessary guidance to address the residual uncertainties surrounding AI implementation.
The ongoing work on sustainable AI is preparing organizations for compliance with forthcoming EU regulations on environmental sustainability. CEN CENELEC JTC21 AI WG4 Foundational and societal aspects ISO/IEC JTC1 SC 42 AI WG3 Trustworthiness AFNOR ethics committee on AI
- New standard development
- advancing the development of standards within the assigned technical area
Artificial Intelligence
The ethical standards initiatives are particularly important for SMEs, as they provide the necessary guidance to address the residual uncertainties surrounding AI implementation. By helping SMEs employ competent ethicists, choose the right tools, and upskill the ethical awareness of developers, these efforts ensure that smaller enterprises can foster responsible innovation.
The development of the AI Trustworthiness Framework is highly significant as it directly supports the implementation of the EU AI Act. This framework establishes essential standards that will enable organisations to meet the legal requirements of the Act. Furthermore, the ongoing work on sustainable AI is preparing organizations for compliance with forthcoming EU regulations on environmental sustainability. These initiatives focus on creating AI systems that are energy-efficient and environmentally responsible, ensuring that businesses are not only able to meet the new regulatory standards.
- New standard development
- The EU Path to AI: AI Trust, AI Ethics, Sustainability AI, Fundamental Rights
Artificial Intelligence
The AI Trustworthiness Framework plays a key role in enabling the effective implementation of the EU AI Act, setting essential standards that help organisations meet legal obligations. Ethical standards are particularly important for SMEs, providing clear guidance to navigate uncertainties in AI adoption. They foster responsible innovation by enabling SMEs to engage qualified ethicists, choose suitable tools, and strengthen ethical awareness. Also, sustainable AI initiatives equip organisations for forthcoming EU environmental requirements, advancing the development of energy-efficient, environmentally responsible AI systems to ensure future regulatory compliance.
The different targeted standards have a different societal impact: AI Trustworthiness Framework (prEN 18229): (Part 1 and Part 2) Establishes terminology, concepts, and requirements for AI trustworthiness, addressing five of the ten SRs. Facilitates AI Act compliance and meets varied stakeholder needs. Environmentally Sustainable AI (JT021010): Cuts AI energy consumption—particularly in neural networks—through more efficient algorithms and pre-trained models, in line with EU climate neutrality targets. Transparency Taxonomy of AI Systems (JT021022): Creates a structured framework to enhance transparency, accountability, and comparability across AI systems. Upskilling on AI Ethics (JT021033) & Ethical Management Guidelines (JT021034): Provide tools and guidance to embed ethical and social considerations throughout the AI lifecycle. Sustainable AI – Guidelines and Metrics (JT021035): Defines KPIs to assess and minimise AI’s environmental impact, promoting sustainable practices. Impact Assessment and Fundamental Rights (JT021026): Identifies and mitigates risks to fundamental rights, ensuring AI systems align with EU values. Risk Management in Critical Digital Infrastructure (pending): Delivers tailored methodologies, use cases, and hazard taxonomies to manage AI risks in critical systems, complementing prEN AI Risk Management. AI-Enhanced Nudging (JT021003): Addresses ethical risks of AI-driven nudges, safeguarding vulnerable groups and preserving public trust. Competence Requirements for AI Ethicists (JT021019): Defines core skills and knowledge for AI ethicists to ensure effective ethical integration in AI systems.
- New standard development
- AI Trustworthiness Framework for the EU AI ACT and other foundational and societal aspects of AI
Artificial Intelligence
The prEN 18229 series, once published as harmonised European Standards under the EU AI Act, will establish the legal presumption of conformity for high-risk AI systems. For European SMEs, this is the most consequential practical outcome: a single, auditable compliance pathway replacing costly custom legal assessments in each Member State. Reduced compliance costs directly lower barriers to cross-border market access and enable smaller providers to compete on equal terms with larger incumbents who can absorb regulatory uncertainty.
The structural architecture of the five-part framework (separating Logging, Transparency, Human Oversight, Accuracy, and Robustness into independently citable standards) amplifies this SME benefit. A company developing a narrowly scoped AI application can demonstrate conformity against the one or two relevant parts, rather than against a monolithic standard covering requirements that do not apply to its use case. This modularity reduces the cost and complexity of conformity assessment proportionally to the actual risk profile of the product.
At the societal level, the framework makes AI accountability enforceable rather than aspirational. The Logging standard creates an auditable trail; Transparency operationalises Article 13 of the AI Act; Human Oversight directly implements Article 14; Accuracy and Robustness address Article 15. Regulators, notified bodies, and civil society organisations gain a shared technical vocabulary and a verifiable benchmark — conditions that are necessary for public trust in AI systems deployed in high-risk contexts such as healthcare, employment, and critical infrastructure.
EN 18274 (Competence Requirements for Professional AI Ethicists) creates the professional benchmark for a newly recognised occupation across the EU, supporting portable qualifications and training pathways that benefit both individuals and the organisations that employ them.
Beyond Europe, the framework positions the EU as the global reference for trustworthy AI governance. Its alignment with ISO/IEC SC42 work — maintained through the convenorship — ensures that European positions influence the international baseline, reducing the risk of divergent requirements that would impose double compliance costs on exporters.
- New standard development
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Custom funding impact (2nd Open Call 2029)This fellowship supports my convernorship and work within CEN-CENELEC JTC21 WG4 – Foundational and Societal Aspects of AI. The working groups developes essential wew standards:
AI Trustworthiness Framework – prEN 18229-1 (Logging),
prEN 18229-2 (Transparency),
prEN 18229-3 (Human Oversight),
prEN 18229-4 (Accuracy),
prEN 18229-5 (Robustness).
Competence Requirements for Professional AI Ethicists – EN 18274; Guidance for Upskilling Organisations on AI Ethics – JT021033; Guidelines on Tools for Handling Ethical Issues in the AI System Lifecycle – JT021034; Impact Assessment in the Context of Fundamental Rights – JT021026; Guidelines and Metrics for the Environmental Impact of AI Systems –prEN 18287; Guidance on Risk Management in Critical Digital Infrastructure – JT021053.
Value of Research
Role: convenor
Title & Organisation Name: AI & Data Ethicist, Sardus France
Country: France
