Oct 2026· Journal of Social Work Practice· 32 references
Social Work Education and PracticeEthics and Social Impacts of AI
Abstract
This article examines how Polish social work practitioners perceive artificial intelligence (AI), the extent of its adoption, and the hopes and concerns linked to its use. In December 2025, a nationwide Computer-Assisted Web Interview (CAWI) survey was conducted with 1,243 social workers and managers employed in social assistance centres. Findings show adoption is at an early stage: some respondents use generative tools, but for many AI remains marginal or absent from everyday practice. Perceived benefits focus on back-office support – saving time, organising and synthesising information, improving documentation quality – and thus freeing staff for relationship-based work with clients. Assessments of potential applications form a clear hierarchy: text support, translation, summarisation and information management are rated highest, whereas tools affecting direct client interactions (e.g. chatbots, automated diagnosis or needs assessment) raise the greatest concern. Key barriers are institutional and competence-related, including unclear rules, limited organisational readiness, and gaps in knowledge and training across diverse local welfare contexts.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al.· arXiv.org· 109 citations· ⚡19
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
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MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
