Category: Privacy Technology
Industry Research Hub — AL360° Compliance
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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
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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.…
AffectLog Platform: AI Compliance and Privacy by Design
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AffectLog’s platform solves a core tension in regulated AI: organisations need the insight of data‑driven models without breaching privacy, compromising trust or violating complex laws. Across sectors—from healthcare and finance to public agencies and education—the platform’s modular services provide secure orchestration, automated compliance, self‑sovereign governance, dynamic risk management, actionable intelligence…
Youth Entrepreneurship Program – Secure AI for Skill‑Building
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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…
Government & Research Data Spaces — Sovereign AI at Scale
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Cross-agency collaboration with ephemeral data enclaves and policy‑as‑code. National compliance logs, public‑audit ready. Why Public-Sector Data Spaces Need Sovereign AI Governments and publicly funded research consortia are under pressure to share data across borders and sectors (health, environment, education, mobility, procurement) while respecting strict sovereignty and privacy rules. The EU’s…
Healthcare & Life Sciences – Federated, Regulation-Ready AI
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Deploy diagnostic, triage, and research models inside hospital networks – no raw PHI ever leaves. AL360° delivers automated EU AI Act high-risk checks, MDR alignment, and immutable audit trails while orchestrating federated learning across sites. Faster approvals, lower breach risk, zero data egress. AI Opportunities and Compliance Challenges in Healthcare…
End-to-End Prototype using AffectLog’s Privacy-Preserving Mental Health Digital Twin Platform
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Introduction Integrating personal health data with clinical records can greatly improve the prediction and management of mental health conditions. In this prototype, we design a privacy-preserving mental health digital twin platform that unifies data from iPhone sensors, doctor’s notes, and electronic health records (EHR) to create a dynamic digital representation…
AffectLog AL360° – Technical Solution Architecture
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This document offers an in-depth exploration of the technical underpinnings of the AL360° platform — a next-generation solution developed by AffectLog to solve the pressing challenge of accessing sensitive private data in a trustworthy and regulation-aligned manner. AL360° is conceived as a full-stack, modular, and future-proof infrastructure layer for the…
AL360°: Redefining Trust and Access in the Private Data Economy
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In a data-centric world marked by surging digital footprints and ever-tightening regulatory frameworks, enterprises, researchers, and policymakers face a critical dilemma: how to responsibly access and utilise sensitive, private data without breaching trust, security, or legal boundaries. This challenge is particularly pronounced in domains like healthcare, financial services, education, and…
PersonaCore: A Federated Neuromorphic Edge AI Platform for Privacy-Preserving Affective Digital Twins
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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…
