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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
semanticscholar   +1 more source

AI in health and medicine

Nature Medicine, 2022
P. Rajpurkar   +3 more
semanticscholar   +1 more source

Factors Influencing University Students’ Behavioral Intention to Use Generative Artificial Intelligence: Integrating the Theory of Planned Behavior and AI Literacy

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

Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective

Informatics
This 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
semanticscholar   +1 more source

International evaluation of an AI system for breast cancer screening

Nature, 2020
S. McKinney   +30 more
semanticscholar   +1 more source

AI-induced Indifference: Unfair AI Reduces Prosociality

Cognition
The 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
openaire   +3 more sources

Ethics Guidelines for Trustworthy AI

The Cambridge Handbook of Lawyering in the Digital Age, 2021
M. Cannarsa
semanticscholar   +1 more source

Ombuds AI

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.
openaire   +2 more sources

LEGALDOCS AI

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
openaire   +1 more source

Ai, Ai, Ai

Gastronomica, 2008
openaire   +1 more source

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