Enrico Panai

• Journey Towards Ethical AI: A European Perspective on Nudging, Competence, and Ethics Roadmap

Artificial Intelligence

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.

• 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.

• 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

• 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.

• 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.