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877 published stories · page 33 of 59

Evidence-backed problem

Fairness, AI & recruitment

The ever-increasing adoption of AI technologies in the hiring landscape to enhance human resources efficiency raises questions about algorithmic decision-making's implications in employment, especially for job applicants, including those at higher risk of social discrimination. Among other concepts, such as transparency and accountability, fairness has become crucial in AI recruitment debates due to the potential reproduction of bias and discrimination that can disproportionately affect certain vulnerable groups…

Computer Law & Security Review · Labor

Evidence-backed problem

Higher Education’s Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania

Higher education is currently under a significant transformation due to the emergence of generative artificial intelligence (GenAI) technologies, the hype surrounding GenAI and the increasing influence of educational technology business groups over tertiary education. This commentary, prepared for the Special Issue of the Journal of University Teaching & Learning Practice (JUTLP) on “Enhancing student engagement using Artificial Intelligence (AI) and chatbots,” delves into the complex landscape of opportunit…

Education

Both readings

Generative Artificial Intelligence in Business: Towards a Strategic Human Resource Management Framework

Abstract As businesses and society navigate the potentials of generative artificial intelligence (GAI), the integration of these technologies introduces unique challenges and opportunities for human resources, requiring a re‐evaluation of human resource management (HRM) frameworks. The existing frameworks may often fall short of capturing the novel attributes, complexities and impacts of GAI on workforce dynamics and organizational operations. This paper proposes a strategic HRM framework, underpinned by the the…

Business

Evidence-backed gain

Motion Capture Technology in Sports Scenarios: A Survey

Motion capture technology plays a crucial role in optimizing athletes' skills, techniques, and strategies by providing detailed feedback on motion data. This article presents a comprehensive survey aimed at guiding researchers in selecting the most suitable motion capture technology for sports science investigations. By comparing and analyzing the characters and applications of different motion capture technologies in sports scenarios, it is observed that cinematography motion capture technology remains the gold…

Sports

Evidence-backed gain

AI-Driven Enzyme Engineering: Emerging Models and Next-Generation Biotechnological Applications

Enzyme engineering drives innovation in biotechnology, medicine, and industry, yet conventional approaches remain limited by labour-intensive workflows, high costs, and narrow sequence diversity. Artificial intelligence (AI) is revolutionising this field by enabling rapid, precise, and data-driven enzyme design. Machine learning and deep learning models such as AlphaFold2, RoseTTAFold, ProGen, and ESM-2 accurately predict enzyme structure, stability, and catalytic function, facilitating rational mutagenesis and…

Science

Both readings

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

Numerous measures have been proposed to illustrate the performance of predictive artificial intelligence (AI) models. Selecting appropriate performance measures is essential for predictive AI models intended for use in medical practice. Poorly performing models are misleading and may lead to wrong clinical decisions that can be detrimental to patients and increase financial costs. In this Viewpoint, we assess the merits of classic and contemporary performance measures when validating predictive AI models for med…

Health

Evidence-backed problem

The carbon and water footprints of data centers and what this could mean for artificial intelligence

Although there are ways to estimate the global power demand of artificial intelligence (AI) systems, it remains challenging to quantify the associated carbon and water footprints. The lack of distinction between AI and non-AI workloads in the environmental reports of data center operators makes it possible to assess the environmental impact of AI workloads only by approximating them through data centers' general performance metrics. The environmental disclosure of tech companies is, however, often insufficient t…

Climate

Generative-AI, the media industries, and the disappearance of human creative labour

This article addresses the transformative role of Generative-AI (Gen-AI) in the creative media and arts industries, focusing on concerns about the disappearance of human creative labour.It critically examines the discourse of the 2023 Writers' and Actors' strikes, which replicates prevailing assumptions of the superiority of human creativity over Gen-AI.This discourse emphasises a 'replacing tasks' model, anticipating a future where AI assists human creatives in a limited capacity.Against this background, the ar…

Labor

Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals

Purpose This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach. Design/methodology/approach The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadma…

Business

Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals

Breaking or Repairing Long-Term Care for Older People?

From robots to chatbots, AI technologies in care (nursing) homes have gained policymakers’ attention amid critical issues like staffing shortages. Concurrently, the long-term care sector has become a prime target for technologists due to its global market potential given the growing ageing population. Drawing conceptually on ideas of breakdown and repair, we explore socio-technical discourses of AI-based care for later life. We combine Bruno Latour’s concept of delegation and Madeleine Akrich’s notion of user re…

Health

A comprehensive review on application of cognitive behavioral therapy in emotional AI solutions for mental well-being

The integration of Cognitive Behavioral Therapy (CBT) into emotional AI systems has revolutionized the mental health care domain in detecting various issues. This paper reviews the evolution and application of AI agents that leverage CBT to provide personalized, accessible, and effective emotional support. By utilizing CBT methods like cognitive restructuring and guided self-reflection, the agents administer specific therapies that reduce negative thought patterns and enhance emotional responses. This paper outl…

Health

A comprehensive review on application of cognitive behavioral therapy in emotional AI solutions for mental well-being

The role of over-reliance on AI in the negative consequences of student learning: The moderating effects of ethical concerns and institutional policies

This study investigates the impact of over-reliance on artificial intelligence (AI) in educational settings and its negative consequences on student learning, focusing on the moderating effects of ethical concerns and institutional policies. As students increasingly depend on AI tools, potential risks to critical thinking and engagement may arise. Understanding these dynamics is essential for educators and policymakers to develop strategies that mitigate the adverse effects of AI dependence. The research utilize…

Policy

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

BACKGROUND: Simulated patient systems are vital in medical education and research, providing safe, integrative training environments and supporting clinical decision-making. Progressive Artificial Intelligence (AI) technologies, such as Large Language Models (LLM), could advance simulated patient systems by replicating medical conditions and patient-doctor interactions with high fidelity and low cost. However, effectiveness and trustworthiness remain challenging. METHODS: We developed AIPatient, a simulated pati…

Health

Can Generative AI improve social science?

Generative AI that can produce realistic text, images, and other human-like outputs is currently transforming many different industries. Yet it is not yet known how such tools might influence social science research. I argue Generative AI has the potential to improve survey research, online experiments, automated content analyses, agent-based models, and other techniques commonly used to study human behavior. In the second section of this article, I discuss the many limitations of Generative. I examine how bias…

Science

Understanding AI in higher education: Gendered and intersectional students’ experience with ChatGPT use

The integration of ChatGPT into higher education is expanding rapidly, particularly within. These applications are increasingly associated with perceived improvements in student performance. This study examines how university students across the United Arab Emirates engage with ChatGPT and explores how demographic factors influence adoption patterns. A quantitative design was employed using a structured questionnaire completed by 506 students from several higher education institutions in the UAE. The results sho…

Education