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explainable ai

2,585 papers

#explainable ai Oct 2026

Federated multimodal home school collaborative dance intervention for inclusive preschool education with privacy preserving and explainable AI framework

A federated multimodal framework for inclusive preschool dance education, with explicit links between model design and educational decision requirements, which shows the largest motor-skill and social-inclusion gains for HomeSchool-AI, while the ablation, robustness, privacy–utility, and cross-school analyses provide c...

Lan-Jian Ma · 0 citations
#explainable ai Book Open access Oct 2026

Provenance-Aware Hybrid Search in AI-Mediated Digital Libraries

A provenance-aware hybrid search framework for digital libraries that connects digital library content and metadata with hybrid retrieval and AI synthesis, provenance-aware interface design, and user interaction is proposed.

Rajesh Kumar Das, Gretchen R. Stahlman · 0 citations
#explainable ai Book Open access Oct 2026

Evaluating and explaining LLM classification for automatic screening in Systematic Reviews

This research conducts a set of experiments using open-source Large Language Models with small parameters hosted on local servers to screen titles and abstracts against pre-defined eligibility criteria respective to each topic, and suggests that AI may indeed aid with initial relevance screening, but more research is n...

Min-Ji Kang, Bipasha Banerjee, C. Comer · 0 citations
#explainable ai Review Oct 2026

Individual dependency behavior in multimodal AI-assisted knowledge acquisition: influencing factors and explainable prediction

It is suggested that habitual, pressure-driven responses progressively outweigh careful, quality-oriented considerations in AI-assisted knowledge acquisition, and empirical evidence to guide human–AI collaboration design, AI governance frameworks and sustainable knowledge management practices is offered.

Ze-Quan Luan, Yong-Qiang Sun, Jie Ma · 0 citations
#explainable ai Oct 2026

An explainable AI framework for spatial hotspot detection and temporal forecasting of urban crime

A unified and reproducible framework for studying both crime volume and hotspot probability across three major U.S. cities is presented, with deep learning models consistently outperform ARIMA on daily forecasting.

Shristi Bose, Jahnavi Raja, Shaleen Bhatnagar · 0 citations
#explainable ai Review Open access Oct 2026

Same construct, same conclusion? A construct-observability perspective on self-report and non-self-report indicators in AI education research: a two-phase systematic review

Build observability is developed as a testable, hypothesis-generating framework for organising cross-method heterogeneity, which can be appropriate for perceptions, confidence, experiences, and self-observed behaviours.

Yi-Jun Fan, Yang-Tian Ning, Vanman Isabel Tchiang et al. · 0 citations
#explainable ai Oct 2026

Ethical challenges for computer vision in the social sciences

Abstract The rising accessibility of large image datasets and pre-trained models allowed a rapid expansion of computer vision (CV) methods in social science research. While this methodological development opens new potential applications, this combination also raises a new set of ethical concerns that neither computer...

Thomas Schincariol, Alejandro Aísa, Belén González et al. · 0 citations
#explainable ai Book Open access Nov 2026

Active Acoustic Probes for AI Voice Call Detection

An active acoustic probe is proposed that verifies whether the returned audio traversed a genuine physical speaker-to-microphone path, and yields a simple, explainable signal-processing rule calibrated only on normal physical-path recordings.

Lior Yasur, Yisroel Mirsky · 0 citations
#explainable ai Open access Oct 2026

From correction to formation: toward a character-based approach to AI ethics education

This paper asks how AI ethics education should respond when technologies do not merely extend professional activity but participate in reshaping the practices through which professional identities are formed. It argues that AI ethics literacy, while necessary, is not enough under these conditions and develops a for...

S. Heidarifar · 0 citations
#explainable ai Open access Oct 2026

AI Driven Travel Planner with ML Recommendation System

Abstract Travel planning requires travellers to make interconnected decisions concerning destination selection, personal interests, budget, trip duration, seasonal suitability, attractions and supporting services. Existing planning workflows are frequently fragmented across destination portals, accommodation platforms,...

Naveenkumar H, Ms. B. Asfiya Maysam, Ms. Naziya Khanum et al. · 0 citations
#explainable ai Open access Oct 2026

Knowledge Sharing and Organizational Performance: A Systematic Review and Thematic Synthesis of Mechanisms, Contexts and Outcomes (2014-2025)

Purpose: This review explains how knowledge sharing is converted into organizational performance and identifies the organizational, technological and contextual conditions that enable, constrain or redirect this conversion. Design/methodology/approach: A systematic literature review covering 2014-2025 was conducted in...

Youssef Sossey Alaoui, Torra Mohamed · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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