Description of Activities
With AI’s evolution, a growing need for AI ethicists to address ethical, social, and psychological queries is evident. One gap, however, lies in the absence of standardised competencies for these professionals, causing hesitation among organisations to embrace AI ethics.
Impact on SMEs (1st Open Call)
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.
Impact on SMEs (2nd Open Call)
The work on ethics helps SME to apply guidelines or choose qualified professionals in the AI ethics field.
Impact on SMEs (4th Open Call)
The ethical standards initiatives are particularly important for SMEs, as they provide the necessary guidance to address the residual uncertainties surrounding AI implementation.
Impact on SMEs (6th Open Call)
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.
Impact on SMEs (9th Open Call)
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.
Impact on society (1st Open Call)
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.
Impact on society (2nd Open Call)
Establishing a uniform language, processes, and ethical methods to regulate their application is paramount to avert unintentional harm and protect vulnerable demographics.
Impact on society (4th Open Call)
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
Impact on society (6th Open Call)
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.
Impact on society (9th Open Call)
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.
Organization
AI & Data Ethicist, Sardus France
Proposal Title (1st Open Call)
Journey Towards Ethical AI: A European Perspective on Nudging, Competence, and Ethics Roadmap
Proposal Title (2nd Open Call)
Navigating AI Ethics: Insights on AI Nudges, AI Competencies, Trust and Ethics Roadmap in EU
Proposal Title (4th Open Call)
The EU Path to AI: AI Trustworthiness, AI Ethics, Green & Sustainability AI, Fundamental Rights
Proposal Title (6th Open Call)
advancing the development of standards within the assigned technical area
Proposal Title (9th Open Call)
The EU Path to AI: AI Trust, AI Ethics, Sustainability AI, Fundamental Rights
Standards Development Organisation
Topic
Artificial Intelligence
