Tag: Human-Centric AI

  • Scholars and Collaborators Informing AffectLog’s Work

    Scholars and Collaborators Informing AffectLog’s Work

    At AffectLog, our vision is shaped not only by technology but also by the insights of leading researchers in education, psychology, neuroscience, policy, and AI ethics. Many of these scholars are colleagues and collaborators our founder has had the privilege to work with during his PhD and earlier research roles…

  • Industry Research Hub — AL360° Compliance

    Industry Research Hub — AL360° Compliance

    Research Hub — Healthcare Compliance Healthcare AI sits at the nexus of privacy, safety and patient rights. In the EU, the Artificial Intelligence Act classifies AI systems used as safety components of medical devices as high‑risk. Article 6(1)(b) specifies that an AI system is high‑risk if it serves as a…

  • AffectLog Research Hubs: Advancing Trustworthy AI

    AffectLog Research Hubs: Advancing Trustworthy AI

    AffectLog’s research programme sits at the intersection of data privacy, compliance, policy and transparency. Each domain hub acts as a home for ongoing projects, datasets (where publicly shareable), methods and recent publications. This document sketches detailed outlines for those hubs with the shared mission of fostering collaboration and funding opportunities.…

  • Youth Entrepreneurship Program – Secure AI for Skill‑Building

    Youth Entrepreneurship Program – Secure AI for Skill‑Building

    Privacy‑preserving learner coaching aligned with GDPR Art. 8 and UNICEF/UNESCO ethics. AI guides students through entrepreneurship programs while all sensitive audio/video content is anonymised client‑side and centralised risk management ensures continual compliance. Empowering Youth with AI, Responsibly A century‑old youth‑education NGO recently launched an AI‑driven program that enhances its entrepreneurship, work…

  • PersonaCore: A Federated Neuromorphic Edge AI Platform for Privacy-Preserving Affective Digital Twins

    PersonaCore: A Federated Neuromorphic Edge AI Platform for Privacy-Preserving Affective Digital Twins

    Abstract Affective Digital Twins (ADT) are virtual replicas of human emotional and cognitive states, enabling simulation and personalized AI interactions in human-centric applications. This paper presents AffectLog PersonaCore, a technical framework for implementing ADTs via a federated, privacy-preserving, neuromorphic computing platform. We detail how PersonaCore innovates on-device federated neuromorphic processing…