Ethics

Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review

This study presents a narrative review of the use of digital health technologies (DHTs) and artificial intelligence to screen and mitigate risks and mental health consequences associated with ACEs among children and youth. Several databases were searched for studies published from August 2017 to August 2022. Selected studies (1) explored the relationship between digital health interventions and ...

SMT-Boosted Security Types for Low-Level MPC

Secure Multi-Party Computation (MPC) is an important enabling technology for data privacy in modern distributed applications. We develop a new type theory to automatically enforce correctness,confidentiality, and integrity properties of protocols written in the \emph{Prelude/Overture} language framework. Judgements in the type theory are predicated on SMT verifications in a theory of finite fiel...

Beyond Benchmarks: On The False Promise of AI Regulation

The rapid advancement of artificial intelligence (AI) systems in critical domains like healthcare, justice, and social services has sparked numerous...

An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI

Incorporating responsible practices into software engineering (SE) for AI is essential to ensure ethical principles, societal impact, and accountabi...

Unlocking the Black Box: Analysing the EU Artificial Intelligence Act's Framework for Explainability in AI

The lack of explainability of Artificial Intelligence (AI) is one of the first obstacles that the industry and regulators must overcome to mitigate ...

Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders

We present a physics-informed deep learning framework to address common limitations in Confocal Laser Scanning Microscopy (CLSM), such as diffractio...

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET

Accurate classification of histological subtypes of non-small cell lung cancer (NSCLC) is essential in the era of precision medicine, yet current in...

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice

Large Language Models (LLMs) hold promise for advancing legal practice by automating complex tasks and improving access to justice. However, their a...

Design Patterns for the Common Good: Building Better Technologies Using the Wisdom of Virtue Ethics

Virtue ethics is a philosophical tradition that emphasizes the cultivation of virtues in achieving the common good. It has been suggested to be an e...

Secure Semantic Communication With Homomorphic Encryption

In recent years, Semantic Communication (SemCom), which aims to achieve efficient and reliable transmission of meaning between agents, has garnered ...

Optimizing Secure Quantum Information Transmission in Entanglement-Assisted Quantum Networks

Quantum security improves cryptographic protocols by applying quantum mechanics principles, assuring resistance to both quantum and conventional com...

Democratizing AI Governance: Balancing Expertise and Public Participation

The development and deployment of artificial intelligence (AI) systems, with their profound societal impacts, raise critical challenges for governan...

Addressing Intersectionality, Explainability, and Ethics in AI-Driven Diagnostics: A Rebuttal and Call for Transdiciplinary Action

The increasing integration of artificial intelligence (AI) into medical diagnostics necessitates a critical examination of its ethical and practical...

A Capability Approach to AI Ethics

We propose a conceptualization and implementation of AI ethics via the capability approach. We aim to show that conceptualizing AI ethics through th...

Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic

Encrypted network communication ensures confidentiality, integrity, and privacy between endpoints. However, attackers are increasingly exploiting en...

Physics-Informed Super-Resolution Diffusion for 6D Phase Space Diagnostics

Adaptive physics-informed super-resolution diffusion is developed for non-invasive virtual diagnostics of the 6D phase space density of charged part...

Implications of Artificial Intelligence on Health Data Privacy and Confidentiality

The rapid integration of artificial intelligence (AI) in healthcare is revolutionizing medical diagnostics, personalized medicine, and operational e...

Mechanistically Informed Machine Learning Links Non-Canonical TCA Cycle Activity to Warburg Metabolism and Hallmarks of Malignancy

Cancer cells undergo extensive metabolic rewiring to support growth, survival, and phenotypic plasticity. A non-canonical variant of the tricarboxylic...

Perceptual predictions track subjective, over objective, statistical structure

Predictive processes in cognition and the brain are usually modelled as tracking objective event probabilities. However, we know little about how our ...

Reconstructing the Mitochondrial Proton Motive Force Using Physics-Informed Neural Networks and Surrogate Bioenergetic Signals

The mitochondrial proton motive force (PMF) underlies ATP synthesis, metabolite transport, and energy coupling. Yet, direct measurement of PMF remains...