The Dignity Lens: Advancing Human‐Centred Protective and Proactive Algorithmic Responsibility
ABSTRACT Practically exercising responsibility when developing algorithms is a non‐trivial activity. The plethora of perspectives on responsible AI often leaves practitioners overwhelmed and confused about how to start and how to ensure efforts are embedded in ongoing practice, not just one‐off activities.
Lorenn P. Ruster+2 more
wiley +1 more source
Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security. [PDF]
A R S, Katiravan J.
europepmc +1 more source
TIM Lecture Series – Three Collaborations Enabling Cybersecurity [PDF]
Deborah Frincke+4 more
openalex +1 more source
A cybersecurity risk analysis framework for systems with artificial intelligence components
Abstract The introduction of the European Union Artificial Intelligence (AI) Act, the NIST AI Risk Management Framework, and related international norms and policy documents demand a better understanding and implementation of novel risk analysis issues when facing systems with AI components: dealing with new AI‐related impacts; incorporating AI‐based ...
J.M. Camacho+3 more
wiley +1 more source
A short report on deep learning synergy for decentralized smart grid cybersecurity. [PDF]
Verma S, Rao A.
europepmc +1 more source
RESEARCH ON SECURE VIRUS TROJAN IN CYBERSECURITY PLATFORM
Ahmad Sidiq, Rusydi Umar, Anton Yudhana
openalex +2 more sources
ABSTRACT Aims To co‐identify adaptations with key stakeholders needed to optimise elements of a video‐based intervention (i.e., PREEMIE PROGRESS [PP]), which trains parents in evidence‐based family management skills to care for their very preterm infant in the neonatal intensive care unit (NICU).
Ashley M. Weber+10 more
wiley +1 more source
Large Language Models for Synthetic Dataset Generation of Cybersecurity Indicators of Compromise. [PDF]
Almorjan A, Basheri M, Almasre M.
europepmc +1 more source
Newsroom: Future of Cybersecurity [PDF]
Roger Williams University School of Law
core +1 more source
An AI‐Enabled Nursing Future With no Documentation Burden: A Vision for a New Reality
ABSTRACT Aims To explore the potential of multimodal large language models in alleviating the documentation burden on nurses while enhancing the quality and efficiency of patient care. Design This position paper is informed by expert discussions and a literature review.
Martin Michalowski+2 more
wiley +1 more source