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Mechanistic Interpretability for AI Safety - A Review
Trans. Mach. Learn. Res.Understanding AI systems' inner workings is critical for ensuring value alignment and safety. This review explores mechanistic interpretability: reverse engineering the computational mechanisms and representations learned by neural networks into human ...
Leonard Bereska, E. Gavves
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International journal of human computer interactions
Generative artificial intelligence (GAI) advancements have ignited new expectations for artificial intelligence (AI)-enabled educational transformations.
Chengliang Wang +5 more
semanticscholar +1 more source
Generative artificial intelligence (GAI) advancements have ignited new expectations for artificial intelligence (AI)-enabled educational transformations.
Chengliang Wang +5 more
semanticscholar +1 more source
Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective
InformaticsThis paper conducts a systematic review and interdisciplinary analysis of the ethical challenges of generative AI technologies (N = 37), highlighting significant concerns such as privacy, data protection, copyright infringement, misinformation, biases ...
Mousa Al-kfairy +4 more
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International evaluation of an AI system for breast cancer screening
Nature, 2020S. McKinney +30 more
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AI-induced Indifference: Unfair AI Reduces Prosociality
CognitionThe growing prevalence of artificial intelligence (AI) in our lives has brought the impact of AI-based decisions on human judgments to the forefront of academic scholarship and public debate. Despite a massive growth in research related to receptivity towards AI, little is known about how interactions between humans and AI shape subsequent interactions
Raina Zexuan Zhang +4 more
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Ethics Guidelines for Trustworthy AI
The Cambridge Handbook of Lawyering in the Digital Age, 2021M. Cannarsa
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Healthcare Quarterly
The integration of artificial intelligence (AI) offers the promise of developing open-source frameworks and tools that incorporate social and behavioural determinants of health data, thereby fostering an empirical understanding of the causal factors behind patient complaints.
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The integration of artificial intelligence (AI) offers the promise of developing open-source frameworks and tools that incorporate social and behavioural determinants of health data, thereby fostering an empirical understanding of the causal factors behind patient complaints.
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LegalDocsAI is an AI-powered application designed to automate the creation, analysis, and management of legal documents for professionals, law firms, and organizations. The system integrates Natural Language Processing (NLP) and Artificial Intelligence (AI) techniques to generate legally accurate, consistent, and context-aware documents with minimal ...
R, VARSHINI, R, KIRTHIGA
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R, VARSHINI, R, KIRTHIGA
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