[HTML][HTML] What factors contribute to the acceptance of artificial intelligence? A systematic review
Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next
decade, creating a personal, industrial, and social shift towards the new technology. As a …
decade, creating a personal, industrial, and social shift towards the new technology. As a …
Building machines that learn and think with people
What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …
Evaluating language models for mathematics through interactions
There is much excitement about the opportunity to harness the power of large language
models (LLMs) when building problem-solving assistants. However, the standard …
models (LLMs) when building problem-solving assistants. However, the standard …
Creation of sustainable growth with explainable artificial intelligence: An empirical insight from consumer packaged goods retailers
Consumer packaged goods retailers can pivot quickly to find new areas of sustainable
growth and enable their businesses to compete effectively. Traditionally, they are losing …
growth and enable their businesses to compete effectively. Traditionally, they are losing …
Being trustworthy is not enough: How untrustworthy artificial intelligence (AI) can deceive the end-users and gain their trust
Trustworthy Artificial Intelligence (AI) is characterized, among other things, by: 1)
competence, 2) transparency, and 3) fairness. However, end-users may fail to recognize …
competence, 2) transparency, and 3) fairness. However, end-users may fail to recognize …
Availability of evidence for predictive machine learning algorithms in primary care: a systematic review
MM Rakers, MM van Buchem, S Kucenko… - JAMA network …, 2024 - jamanetwork.com
Importance The aging and multimorbid population and health personnel shortages pose a
substantial burden on primary health care. While predictive machine learning (ML) …
substantial burden on primary health care. While predictive machine learning (ML) …
Beyond AI-powered context-aware services: the role of human–AI collaboration
Purpose Artificial intelligence (AI) has gained significant momentum in recent years. Among
AI-infused systems, one prominent application is context-aware systems. Although the fusion …
AI-infused systems, one prominent application is context-aware systems. Although the fusion …
[HTML][HTML] The public perceptions of algorithmic decision-making systems: Results from a large-scale survey
Algorithmic decision-making (ADM) systems are heavily used by businesses, governments,
and the nonprofit sector. Their adoption by the public is important for their optimal …
and the nonprofit sector. Their adoption by the public is important for their optimal …
Trustworthy Artificial Intelligence in Dentistry: Learnings from the EU AI Act
M Ducret, E Wahal, D Gruson… - Journal of Dental …, 2024 - journals.sagepub.com
Artificial intelligence systems (AISs) gain relevance in dentistry, encompassing diagnostics,
treatment planning, patient management, and therapy. However, questions about the …
treatment planning, patient management, and therapy. However, questions about the …
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making
Human perceptions of fairness in (semi-) automated decision-making (ADM) constitute a
crucial building block toward developing human-centered ADM solutions. However …
crucial building block toward developing human-centered ADM solutions. However …