The rapid integration of generative artificial intelligence and augmented reality into artistic and educational contexts has intensified debates surrounding creativity, authorship, ethics, and sustainability. While these technologies offer significant potential for innovation in visual arts education, their environmental and ethical implications remain underexplored, particularly at the level of basic education.This paper examines sustainable digital art practices developed within visual education contexts, focusing on the critical integration of generative art and augmented reality. Grounded in practice-based research and art-based methodologies, the study analyses pedagogical and artistic experiences that promote co-authorship between students and artificial intelligence systems while encouraging critical digital literacy and environmental awareness.By framing generative and augmented practices as artistic processes rather than merely technological tools, the paper argues for a sustainable and ethically informed approach to digital creativity. It highlights how low-impact digital strategies, reflective use of AI systems, and contextualised augmented narratives can foster meaningful artistic engagement without reinforcing technological dependence or ecological neglect.The findings contribute to contemporary discussions on media art, digital sustainability, and education, proposing a critical framework for integrating emerging technologies into artistic practice. This approach positions digital art education as a space for ecological awareness, creative responsibility, and reflective authorship within expanded cinematic and media-art practices.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 16, 2026