WP1 – Data-centric AI
Activities: WP1 defined interoperability requirements, advanced identity-verification datasets and evaluation protocols, and developed methods for bias detection, data auditing and data-quality validation.
Main outcomes: WP1 delivered D1.1 new annotated datasets and evaluation resources, a first bias analysis API, the Minimum Viable Dataset concept, and initial methods for fairer, auditable and data-efficient AI.
WP2 – Privacy-preserving and GDPR-aware AI
Activities: WP2 translated GDPR and privacy requirements into operational guidance and developed approaches for anonymisation, synthetic data, federated learning, secure computation and privacy-preserving biometrics.
Main outcomes: WP2 delivered D2.1 and D2.3 a GDPR-oriented use-case analysis and compliance roadmap, and privacy-preserving assets including federated learning platforms, secure data-sharing concepts, confidential execution tools and verifiable ML workflows.
WP3 – Efficient AI and optimisation
Activities: WP3 advanced efficient and scalable AI workflows, including training and inference optimisation, cost-aware fine-tuning, hyperparameter optimisation, multi-agent execution and infrastructure recommendation.
Main outcomes: WP3 produced methods for explainability-informed optimisation, sparse inference, cost-aware retraining, adaptive scaling and infrastructure optimisation, and established an initial multi-agent basis around SOP Lang, AchillesAgentLib, Agent Skills, Ploinky and MRP-VM.
WP4 – Legal, ethical and human-values framework
Activities: WP4 mapped legal and ethical requirements, developed ethics protocols, conducted legal research on trustworthy and privacy-preserving AI, and applied Value-Sensitive Design through interviews, surveys, workshops and use-case engagement.
Main outcomes: WP4 delivered D4.1 and D4.4 translated legal and ethical requirements into practical guidance, generated insights on values and ethical tensions, and created a basis for integrating compliance and human-centred design into the IDE, Copilot and validation activities.
WP5 – Explainability, robustness and monitoring
Activities: WP5 developed methods for explainable AI, uncertainty quantification, robustness assessment, continuous monitoring, hallucination detection and automated reporting for traditional and generative AI workflows.
Main outcomes: WP5 produced assets for interpretable and auditable AI, including concept-based explainability methods, robustness and uncertainty tools, face-morphing evaluation resources, LLM monitoring specifications and Cardsmith for semi-automated AI documentation, risk assessment and governance reporting.
WP6 – ACHILLES IDE integration
Activities: WP6 defined the user, technical and architectural requirements for the ACHILLES IDE and advanced components for agent deployment, development, orchestration, MCP-based interfaces, governed LLM access, observability and structured agentic execution.
Main outcomes: WP6 delivered D6.1 and prototypes of Ploinky, AchillesAgentLib, SOP Lang, Soul Gateway and MRP-VM, creating the first operational environment to expose, compose, test and validate ACHILLES outputs through APIs, plugins, Copilot workflows and use-case scenarios.
WP7 – Use cases and validation
Activities: WP7 refined the Healthcare, SCRIPTA, ID Verification and HERA use cases by updating requirements, data considerations and validation needs, and aligning them with technical, legal and ethical work.
Main outcomes: WP7 delivered D7.1 and a pilot-preparation methodology covering use-case pipelines, Trustworthy AI test cases, asset applicability assessments and pilot-planning templates, providing the basis for use-case-driven validation and D7.2.
WP8 – Dissemination, communication and exploitation
Activities: WP8 established dissemination, communication, stakeholder engagement, clustering and exploitation activities, including strategic plans, communication channels and materials, European networking, and exploitation/IPR monitoring.
Main outcomes: WP8 delivered D8.1 and D8.3 launched the website, visual identity, LinkedIn channel and communication kit, achieved initial dissemination and networking results, and created a framework to track Key Exploitable Results, IPR conditions and exploitation risks.
WP9 – Project coordination and management
Activities: WP9 established governance and management through consortium meetings, internal communication and document-management procedures, and technical, financial and risk-monitoring processes.
Main outcomes: WP9 delivered D9.1 and D9.4 providing structured procedures for coordination, quality assurance, risk management, data governance and efficient project execution.
