Research graph
References from Challenges in aligning AI agents with GDPR transparency and accountability requirements. Local targets link to admitted publications; unresolved targets remain external evidence.
Systematic review of the application of artificial intelligence in healthcare and nursing care
10.21315/mjms2024.31.5.9 · 2024 · External reference
Artificial intelligence and healthcare simulation: the shifting landscape of medical education
2024 · External reference
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Advance thread detection using AI & ML in cyber security
2024 · External reference
Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing
10.3390/ijerph17155330 · 2020 · External reference
10.3390/smartcities7050094
10.3390/smartcities7050094 · External reference
Artificial intelligence ante portas: reactions of law
2021 · External reference
GDPR consent management and automated compliance verification tool
10.1016/j.softx.2024.101821 · 2024 · External reference
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Ethical framework for harnessing the power of AI in healthcare and beyond
10.1109/access.2024.3369912 · 2023 · External reference
Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making
10.3389/fhumd.2024.1421273 · 2024 · External reference
10.2139/ssrn.4694565
10.2139/ssrn.4694565 · External reference
10.52202/079017-2190
10.52202/079017-2190 · External reference
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GDPR data sharing contract management and compliance verification tool
10.1016/j.simpa.2024.100653 · 2024 · External reference
The international data governance landscape
10.1093/jlb/lsac005 · 2022 · External reference
A systematic literature review of the tension between the GDPR and public blockchain systems
2023 · External reference
The impact of GDPR on data sharing for European cancer research
10.1016/s1470-2045(22)00653-2 · 2023 · External reference
I, Chatbot: modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents
10.1016/j.tele.2020.101473 · 2020 · External reference
Empowering biomedical discovery with AI agents
10.1016/j.cell.2024.09.022 · 2024 · External reference
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: a mini-review, two showcases and beyond
10.1016/j.inffus.2021.07.016 · 2022 · External reference
Explaining the black-box model: a survey of local interpretation methods for deep neural networks
10.1016/j.neucom.2020.08.011 · 2021 · External reference
Frameworks and optimization in agentic AI: multi-agent coordination and environment adaptation
2025 · External reference
Recent advances in black box and white-box models for urban heat island prediction: implications of fusing the two methods
10.1016/j.rser.2022.112520 · 2022 · External reference
Two decades of blackbox optimization applications
10.1016/j.ejco.2021.100011 · 2021 · External reference
Profiling and (automated) decision-making under the GDPR: a two-step approach
2022 · External reference
GDPR-compliant AI-based automated decision-making in the world of work
2023 · External reference
Protected how? Problem representations of risk in the general data protection regulation (GDPR)
10.1080/19460171.2021.1927776 · 2021 · External reference
Privacy preservation in federated learning: an insightful survey from the GDPR perspective
10.1016/j.cose.2021.102402 · 2021 · External reference
Accountability in AI: from principles to industry-specific accreditation
10.3233/aic-210080 · 2021 · External reference
The risk perspective of AI in healthcare: GDPR and GELSI framework (Governance, Ethical, Legal and Social Implications) and the new European AI Act
2024 · External reference
An AI framework to support decisions on GDPR compliance
10.1007/s10844-023-00782-4 · 2023 · External reference
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Consent through the lens of semantics: state of the art survey and best practices
2021 · External reference
