Results 81 to 90 of about 200,089 (297)
Guidance on responsible use of AI tools for enhanced learning – BVMS Programme [PDF]
, 2023 Official provision to students across Veterinary Medicine as school-level guidance on the responsible use of generative artificial intelligence to uphold academic integrity and outline what is considered as misconduct, poor practice and good ...
Hough, Denise +2 more
core
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Responsible AI in Marketing: AI Booing and AI Washing Cycle of AI Mistrust [PDF]
International Journal of Market ResearchThe growing integration of Artificial Intelligence (AI) in marketing has introduced both opportunities and challenges, particularly concerning consumer trust. This paper critically examines two emerging phenomena: AI Washing , where companies exaggerate AI capabilities for marketing advantage,
Selcen Ozturkcan, Ayşe Aslı Bozdağ
openaire +2 more sources
mit-ll-responsible-ai/hydra-zen: Release v0.3.0rc1
, 2021 See changelog for ...
Ryan Soklaski, jgbos, Lou Bellaire
core +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Implications of causality in artificial intelligence
Frontiers in Artificial IntelligenceOver the last decade, investment in artificial intelligence (AI) has grown significantly, driven by technology companies and the demand for PhDs in AI. However, new challenges have emerged, such as the ‘black box’ and bias in AI models.
Luís Cavique
doaj +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
Advancing Responsible AI in Public Sector Application
Responsible use of AI in public sector applications requires engagement with various technical and non-technical areas such as human rights, inclusion, diversity, innovation and economic growth.
core +1 more source
Responsible AI governance in practice: The strategic impact of responsible AI governance on business value and competitiveness [PDF]
Artificial Intelligence (AI) comprises a set of technologies with vast potential applications, which can range from autonomous vehicles and chatbots to fraud detection and medical diagnosis. While the domain of AI research has a history of over 50 years,
Papagiannidis, Emmanouil
core +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source