Exploring the Application of Artificial Intelligence and Machine Learning in GLAM Collections DOI
Jeonghyun Kim, Haihua Chen, Le Yang

et al.

Proceedings of the Association for Information Science and Technology, Journal Year: 2024, Volume and Issue: 61(1), P. 782 - 785

Published: Oct. 1, 2024

ABSTRACT In recent years, considerable work has been done on the application of artificial intelligence (AI) and machine learning (ML) in realm cultural heritage. The purpose this panel is to address following questions: What current understanding implementation status AI/ML GLAM collections? are associated concerns challenges real cases? does entail applying field computational archives? To these questions, panelists will present: 1) use cases technologies applied within collections, 2) findings from a systematic review literature 3) insights semi‐structured interviews with archival practitioners their perspectives AI/ML. Following panelists' presentations, an interactive discussion session be conducted delve deeper into topics discussed.

Language: Английский

ChatGPT Promises and Challenges in Education: Computational and Ethical Perspectives DOI Creative Commons
Amr Adel, Ali Ahsan,

Claire Davison

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(8), P. 814 - 814

Published: July 25, 2024

This paper investigates the integration of ChatGPT into educational environments, focusing on its potential to enhance personalized learning and ethical concerns it raises. Through a systematic literature review, interest analysis, case studies, research scrutinizes application in diverse contexts, evaluating impact teaching practices. The key findings reveal that can significantly enrich education by offering dynamic, experiences real-time feedback, thereby boosting efficiency learner engagement. However, study also highlights significant challenges, such as biases AI algorithms may distort content inability replicate emotional interpersonal dynamics traditional teacher–student interactions. acknowledges fast-paced evolution technologies, which render some obsolete, underscoring need for ongoing adapt strategies accordingly. provides balanced analysis opportunities challenges education, emphasizing considerations strategic insights responsible technologies. These are valuable educators, policymakers, researchers involved digital transformation education.

Language: Английский

Citations

21

Students’ appraisals post-ChatGPT use: Students’ narrative after using ChatGPT for writing DOI
Arif Nugroho, Erna Andriyanti, Pratomo Widodo

et al.

Innovations in Education and Teaching International, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 18, 2024

Language: Английский

Citations

18

Empowering learners with ChatGPT: insights from a systematic literature exploration DOI Creative Commons
Laila Mohebi

Discover Education, Journal Year: 2024, Volume and Issue: 3(1)

Published: April 16, 2024

Abstract With the rapid emergence of artificial intelligence (AI) tools in academic realm, understanding their implications, advantages, and challenges becomes crucial. ChatGPT, a leading AI conversational model, has gained significant traction educational settings, warranting comprehensive investigation into its impact. This systematic review aimed to elucidate current state research regarding implementing ChatGPT cultures, focusing on applications, challenges, potential reshaping contemporary pedagogies. An exhaustive 32 peer-reviewed articles from 2023 encompassed categorizing diverse fields, journals, studies. The then delved factors affecting use, myriad opportunities offers within settings. overwhelming 75% studies emphasized relevance generative higher education, underscoring importance. Significant identified included pedagogical integration (31.25%) student engagement (15.63%). However, ChatGPT's potentially inefficient content creation (25.00%) enhanced personalized learning (21.88%) presented promising avenues for experiences. Furthermore, tool's adaptability catering needs fostering collaborative environments was notable. emerges as transformative force academia, with vast revolutionize practices. Yet, institutions must address inherent harness full capabilities. Future directions point towards symbiotic integration, complementing human educators promote inclusive, dynamic learning.

Language: Английский

Citations

10

The Role of Artificial Intelligence in the Study of the Psychology of Religion DOI Creative Commons
Khader I. Alkhouri

Religions, Journal Year: 2024, Volume and Issue: 15(3), P. 290 - 290

Published: Feb. 26, 2024

The study of the psychology religion encompasses various aspects human experiences and beliefs, including influence emerging technologies such as artificial intelligence (AI). This article aims to examine impact AI on religious practices rituals, highlighting its potential reshape how individuals engage with spirituality. By exploring AI-powered applications, virtual communities, online services, we seek understand transformation traditional raise important questions about authenticity, inclusiveness, role technology in contexts. Moreover, ethical considerations challenges arising from integration into will be addressed. As researchers delve this intersection, it is crucial strike a balance between technological advancements preserving fundamental spirituality, personal growth, genuine connection. contributes existing literature by shedding light implications realm experiences, calling for further exploration dimensions unintended consequences. Ultimately, understanding prompts us reflect nature belief formation, experience itself.

Language: Английский

Citations

8

Will Artificial Intelligence Affect How Cultural Heritage Will Be Managed in the Future? Responses Generated by Four genAI Models DOI Creative Commons
Dirk Spennemann

Heritage, Journal Year: 2024, Volume and Issue: 7(3), P. 1453 - 1471

Published: March 11, 2024

Generative artificial intelligence (genAI) language models have become firmly embedded in public consciousness. Their abilities to extract and summarise information from a wide range of sources their training data attracted the attention many scholars. This paper examines how four genAI large (ChatGPT, GPT4, DeepAI, Google Bard) responded prompts, asking (i) whether would affect cultural heritage will be managed future (with examples requested) (ii) what dangers might emerge when relying heavily on guide professionals actions. The systems provided examples, commonly drawing extending status quo. Without doubt, AI tools revolutionise execution repetitive mundane tasks, such as classification some classes artifacts, or allow for predictive modelling decay objects. Important were used assess purported power extract, aggregate, synthesize volumes multiple sources, well ability recognise patterns connections that people may miss. An inherent risk ‘results’ presented by is are ‘artifacts’ system rather than being genuine. Since present unable purposively generate creative innovative thoughts, it left reader determine any text out ordinary meaningful nonsensical. Additional risks identified use without required level literacy overreliance lead deskilling general practitioners.

Language: Английский

Citations

8

An archival perspective on pretraining data DOI Creative Commons
Meera Desai, Irene V. Pasquetto, Abigail Z. Jacobs

et al.

Patterns, Journal Year: 2024, Volume and Issue: 5(4), P. 100966 - 100966

Published: March 29, 2024

Alongside an explosion in research and development related to large language models, there has been a concomitant rise the creation of pretraining datasets—massive collections text, typically scraped from web. Drawing on field archival studies, we analyze datasets as informal archives—heterogeneous diverse material that mediate access knowledge. We use this framework identify impacts data beyond directly shaping model behavior reveal how choices about what is included necessarily involve subjective decisions values. In doing so, perspective helps us opportunities for researchers who study social technology contribute confronting challenges trade-offs arise creating at scale.

Language: Английский

Citations

6

ChatGPT giving advice on how to cheat in university assignments: how workable are its suggestions? DOI
Dirk Spennemann, Jessica Biles,

Lachlan Brown

et al.

Interactive Technology and Smart Education, Journal Year: 2024, Volume and Issue: 21(4), P. 690 - 707

Published: April 16, 2024

Purpose The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims assess what extent genAi can be used obtain guidance on how avoid detection when commissioning and submitting contract-written assignments workable the offered solutions are. Design/methodology/approach Although programmed not provide answers that are unethical or may cause harm people, ChatGPT’s prompted answer with inverted moral valence, thereby supplying answers. authors tasked generate 30 essays discussed benefits undergraduate outline best ways avoiding detection. scored likelihood suggestions would successful in by markers work. Findings While majority suggested strategies had a low chance escaping detection, recommendations related obscuring plagiarism content blending techniques distraction have higher probability remaining undetected. conclude success brainstorming tool cheating advice, but its depends vigilance student’s ability distinguish between genuinely viable options those appear not. Originality/value novel application making simulating queries students who intent committing academic misconduct.

Language: Английский

Citations

6

Tell me more: integrating LLMs in a cultural heritage website for advanced information exploration support DOI Creative Commons
Angelo Geninatti Cossatin, Noemi Mauro, F Ferrero

et al.

Information Technology & Tourism, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

Citations

0

The Origins and Veracity of References ‘Cited’ by Generative Artificial Intelligence Applications: Implications for the Quality of Responses DOI Creative Commons
Dirk Spennemann

Publications, Journal Year: 2025, Volume and Issue: 13(1), P. 12 - 12

Published: March 12, 2025

The public release of ChatGPT in late 2022 has resulted considerable publicity and led to widespread discussion the usefulness capabilities generative Artificial intelligence (Ai) language models. Its ability extract summarise data from textual sources present them as human-like contextual responses makes it an eminently suitable tool answer questions users might ask. Expanding on a previous analysis ChatGPT3.5, this paper tested what archaeological literature appears have been included training phase three recent Ai models: ChatGPT4o, ScholarGPT, DeepSeek R1. While ChatGPT3.5 offered seemingly pertinent references, large percentage proved be fictitious. more model which is purportedly tailored towards academic needs, performed much better, still high rate fictitious references compared general models ChatGPT4o DeepSeek. Using ‘cloze’ make inferences ‘memorized’ by model, was unable prove that any four genAi had perused full texts genuine references. It can shown all provided other OpenAi models, well DeepSeek, were found genuine, also cited Wikipedia pages. This strongly indicates source base for at least some, if not most, those pages thus represents, best, third-hand material. significant implications relation quality available shape their answers. are discussed.

Language: Английский

Citations

0

New perspectives and usual challenges: present technologies for document management in architectural heritage conservation-restoration works DOI
Jaione Korro Bañuelos, José Manuel Valle Melón, Ainara Zornoza-Indart

et al.

Journal on Computing and Cultural Heritage, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

The lack of documentation regarding conservation-restoration works is a critical issue. This paper emphasises the impact this deficiency on standardisation and awareness past processes, as well development new interventions implementation preventive conservation plans; moreover, it sets forth an analysis current state, future trends potential information management systems within context concerns, needs, professional practices in conservation-restoration. To achieve this, work explores retrieval, classification, contextualization, interrelation dispersed documents through structuring database (DB) proposes conceptual framework that integrates three tools: Catalogue Document Typologies (CDT), collaborative 3D workplace generated by Heritage Building Information Modelling (HBIM) semantic knowledge graphs —with particular focus how result specific actions defined developed projects—. Next, assesses whether proposed technologies meet requirements, their additional features, challenges they present. establish scenario applicable to broad range heritage typologies, monastery San Millán de la Cogolla, Yuso (UNESCO World Site) used case study. results demonstrate essential role CDT project, advantages HBIM data visualisation use, fostering collaboration among diverse disciplines and, ultimately, advancement formalising management. Despite these favourable aspects, research also highlights need enhance interoperability, dissemination, reuse solutions ensure effectiveness. Finally, some training areas for professionals are identified leverage benefits offered technological developments.

Language: Английский

Citations

0