Results 21 to 30 of about 47,548 (246)
What’s at Stake in Algorithmic Accountability [PDF]
, 2016 Nick Couldry, Professor of Media, Communications and Social Theory at LSE, explores the challenges for social theory and civic debate in addressing the outcomes of automated systems and decision ...
Couldry, Nick
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
Logics and practices of transparency and opacity in real-world applications of public sector machine learning [PDF]
, 2017 Machine learning systems are increasingly used to support public sector decision-making across a variety of sectors. Given concerns around accountability in these domains, and amidst accusations of intentional or unintentional bias, there have been ...
Veale, Michael
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From opt-in to obligation? : Examining the regulation of globally operating tech companies through alternative regulatory instruments from a material and territorial viewpoint [PDF]
, 2020 Modern society’s ever-increasing reliance on technology raises complex legal challenges. In the search for an efficient and effective regulatory response, more and more authorities – in particular the European Union – are relying on alternative ...
Vander Maelen, Carl
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe +7 more
wiley +1 more source
Ethics of Artificial Intelligence Demarcations
, 2019 In this paper we present a set of key demarcations, particularly important when discussing ethical and societal issues of current AI research and applications.
A Etzioni +13 more
core +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Society-in-the-Loop: Programming the Algorithmic Social Contract
, 2017 Recent rapid advances in Artificial Intelligence (AI) and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines.
Rahwan, Iyad
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Privacy and Accountability in Black-Box Medicine [PDF]
, 2016 Black-box medicine—the use of big data and sophisticated machine learning techniques for health-care applications—could be the future of personalized medicine.
Ford, Roger Allan +1 more
core +3 more sources