‘AI accountability agenda’: US senator unveils package of bills to curb tech’s harms
Exclusive: Senator Ed Markey on why he has proposed legislation aimed at curbing datacenters, automated hiring systems and harm to children
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33 published stories · page 2 of 3
Clinical Impact of Artificial Intelligence-Based Triage Systems in Emergency Departments: A Systematic Review
Emergency departments (EDs) worldwide face increasing pressure to optimize triage processes amidst rising patient volumes and resource constraints. Artificial intelligence (AI) has emerged as a potential solution to enhance triage accuracy and efficiency, yet its real-world clinical impact remains inadequately characterized. We conducted a systematic review following Preferred Reporting Items f...
Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study
Background Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence–powered medical history-taking training and evaluation system (AMTES) and established its technical feasibility as an extracurricular resource. Evidence on whether such tools improve learning outcomes when voluntarily embedded in routine curricul...
966-P: Real-World Impact of AI-driven CGM Platform on Glycemic Status in Type 2 Diabetes—A Retrospective Study
Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control. Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...
Bias in artificial intelligence: smart solutions for detection, mitigation, and ethical strategies in real-world applications
Artificial intelligence (AI) technologies have revolutionized numerous sectors, enhancing efficiency, innovation, and convenience. However, AI's rise has highlighted a critical concern: bias within AI algorithms. This study uses a systematic literature review and analysis of real-world case studies to explore the forms, underlying causes, and methods for detecting and mitigating bias in AI. We ...
From the old to the new generation of a product : unlearn, improve, and prosper
Purpose Drawing on the theories of planned obsolescence and dynamic capabilities, this study aims to jointly address marketing and organizational aspects of the transition from the existing to the new generation of a product (i.e. a product rollover). It conceptualizes the relevance of organizational unlearning in rollovers and relates it to the improvement in the marketing mix of multigenerati...
"AI-INTEGRATED LEARNING MANAGEMENT SYSTEMS (LMS) : IMPACT ON PRIMARY SCHOOL STUDENT'S ACADEMIC PERFORMANCE"
This study investigates the effectiveness of Artificial Intelligence (AI)-enhanced Learning Management Systems (LMS) in improving academic achievement, engagement, and critical thinking among primary school students. Despite growing adoption of AI tools in educational settings, findings reveal limited measurable benefits at the primary level. A mixed-method, cross-sectional design was employed ...
Statewide AI tutoring pilot expands to 40 districts
Officials cite early gains; independent evaluation not yet published.
AI now out-diagnoses two expert physicians in triage tests — but saves them almost no time on paperwork
A reasoning model hit 88.6% diagnostic accuracy on clinicopathological cases. In the same window, a five-hospital study found AI scribes returned doctors just 16 minutes per shift. Two headlines, one technology.
Near-physician diagnostic accuracy on complex cases
A reasoning model reached 88.6% exact or near-exact accuracy on clinicopathological cases.
Early pilots show narrowing tutoring-access gaps
Small-scale district pilots report gains for students who previously had no outside tutoring access.
950+ AI medical devices cleared — oversight still catching up
Post-market monitoring standards for clinical AI tools remain unsettled as clearances accelerate.
Jobs created vs. jobs displaced
The labor market's two truths: large projected role creation and concentrated, measurable displacement.
Young developers are the clearest casualties so far
Employment for coders aged 22–25 has fallen roughly 20% against its late-2022 peak.
WEF: 170 million new roles projected globally by 2030
New AI-adjacent skills already carry wage premiums in 1 of every 10 job postings in advanced economies.
