Generative Artificial Intelligence and Legal Frameworks: Identifying Challenges and Proposing Regulatory Reforms DOI
Animesh Kumar Sharma, Rahul Sharma

Kutafin Law Review, Journal Year: 2024, Volume and Issue: 11(3), P. 415 - 451

Published: Oct. 16, 2024

This research paper seeks to understand the deficit arising from generative AI and its potential in redefying various sectors suggesting modification on current laws. Generative systems can generate distinctive content which could be used text, images, or music, among others, by training available data. It highlights how influences legal profession terms of work like contract writing, as well newer language models GPT-4 chatbots ChatGPT Gemini are evolving. Thus, while has numerous opportunities, it also raises concerns about ethical issues, authorship ownership, privacy, abuses, such propagation deepfakes fake news. study focuses attention importance strengthening frameworks answer issues challenges linked AI, deepfakes, piracy contents, discriminative impact, naked breaches privacy. calls for proper sensitive use through regulation, openness, commonly agreed global guidelines. emphasizes that innovations need balanced a set effective regulations unleash minimize threats.

Language: Английский

The Impact of Prompt Engineering and a Generative AI-Driven Tool on Autonomous Learning: A Case Study DOI Creative Commons
Kovan Mzwri, Márta Turcsányi-Szabó

Education Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 199 - 199

Published: Feb. 7, 2025

This study evaluates “I Learn with Prompt Engineering”, a self-paced, self-regulated elective course designed to equip university students skills in prompt engineering effectively utilize large language models (LLMs), foster self-directed learning, and enhance academic English proficiency through generative AI applications. By integrating concepts tools, the supports autonomous learning addresses critical skill gaps market-ready capabilities. The also examines EnSmart, an AI-driven tool powered by GPT-4 integrated into Canvas LMS, which automates test content generation grading delivers real-time, human-like feedback. Performance evaluation, structured questionnaires, surveys were used evaluate course’s impact on prompting skills, proficiency, overall experiences. Results demonstrated significant improvements accessible patterns like “Persona” proving highly effective, while advanced such as “Flipped Interaction” posed challenges. Gains most notable among lower initial though engagement practice time varied. Students valued EnSmart’s intuitive integration accuracy but identified limitations question diversity adaptability. high final success rate that proper design (taking consideration Panadero’s four dimensions of learning) can facilitate successful learning. findings highlight AI’s potential task automation, emphasizing necessity human oversight for ethical effective implementation education.

Language: Английский

Citations

2
Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course DOI
Benjamin Luke Moorhouse, Yuwei Wan, Chenze Wu

et al.

System, Journal Year: 2024, Volume and Issue: 125, P. 103399 - 103399

Published: July 18, 2024

Language: Английский

Citations

12
Exploring ChatGPT literacy in language education: A global perspective and comprehensive approach DOI Creative Commons
Qing Ma,

Peter Crosthwaite,

Daner Sun

et al.

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100278 - 100278

Published: Aug. 9, 2024

With the widespread use of Generative AI in education, effectively utilizing and integrating it into teaching have become key focal points challenges education. Different subjects target audiences require varied norms strategies for implementing AI, such as ChatGPT. These differences directly impact educational integration various contexts. To address these disparities establish common ground, we propose concept ChatGPT literacy to bridge research gaps. In this study, tailor specifically language teachers, aiming delineate essential competencies needed proficiently ethically a learning tool. We theoretical framework encompassing six fundamental constructs: benefits, limitations, prompts, evaluation (of responses), assessment (assisted by ChatGPT), ethics, comprehensively conceptualise evaluate literacy. Drawing on both quantitative qualitative survey data from 492 teachers across 41 countries, validate proposed examining teachers' practices associated with usage. Our analysis Likert-scale data, item confirmatory techniques, confirms effectiveness six-construct defining addition, collected through open questions conducted thematic analysis, demonstrating that has been integrated throughout instructional cycle, material preparation formative summative phases. findings significant implications range stakeholders, including educators, learners, technology developers, policymakers, providing valuable insights inform decisions regarding Ultimately, our study equips relevant stakeholders necessary responsibly exploiting ChatGPT's potential other subject areas.

Language: Английский

Citations

12
Exploring the Potential of GenAI for Personalised English Teaching: Learners' Experiences and Perceptions DOI Creative Commons
Lucas Kohnke, Di Zou, Fan Su

et al.

Computers and Education Artificial Intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 100371 - 100371

Published: Jan. 1, 2025

Language: Английский

Citations

1
AI in the classroom: Exploring students’ interaction with ChatGPT in programming learning DOI Creative Commons
Hacer Güner, Erkan Er

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Language: Английский

Citations

0
Doctoral Researchers' Perspectives on Ethical Considerations in Artificial Intelligence in Education Through the Lens of the PAPA Framework DOI

Senthilraj Annamalai,

R. Ramnath, Soniya Antony

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2025, Volume and Issue: unknown, P. 493 - 518

Published: Feb. 14, 2025

The integration of Artificial Intelligence (AI) in education offers opportunities for personalized and accessible learning but raises critical ethical concerns. This study examines doctoral researchers' perspectives on these issues using the PAPA (Privacy, Accuracy, Property, Accessibility) framework. Semi-structured interviews revealed 10 themes 23 subthemes, highlighting concerns about data privacy, ownership, consent, transparency. Participants stressed need robust guidelines to address risks such as breaches, bias, unequal access while ensuring AI supports rather than undermines academic integrity autonomy. findings emphasize frameworks essential responsible inclusive education.

Language: Английский

Citations

0
Unveiling the synergy of peer feedback and the Metaverse DOI Creative Commons
Junjie Gavin Wu, Zi Yang, Sumei Wu

et al.

Computers & Education X Reality, Journal Year: 2024, Volume and Issue: 4, P. 100056 - 100056

Published: Jan. 1, 2024

Undeniably, technology has become an integral part of education across all disciplines. Over the past decades, significant technological advancements, such as normalization computers and popularization mobile devices, have transformed revolutionized our learning paradigms. Education transitioned from bricks-and-mortar, teacher fronted, textbook-based teaching to out-of-class, student-centered, inquiry-based learning. Since 2020, emerging technologies Metaverse artificial intelligence shown great potential in expanding opportunities, ranging location teaching, student-teacher machine interactions, different modes instruction In particular, power transform way peer feedback is provided, which essential aspect effective education. This position paper aims shed some light on intersection Metaverse. It starts with a review classic sociocultural theory historical use support feedback, followed by introduction definition features technology. Then, proposes tentative model about how can be utilized facilitate feedback. ends important questions for educators learners contemplate order make most this new improving provision uptake

Language: Английский

Citations

3
From shy to fly: Facilitating EFL learners’ willingness to communicate with an AI chatbot and an intelligent tutoring system DOI
Danyang Zhang, Junjie Gavin Wu, Zhuxia Fu

et al.

System, Journal Year: 2024, Volume and Issue: 127, P. 103501 - 103501

Published: Nov. 13, 2024

Language: Английский

Citations

3
The Role of Generative Artificial Intelligence in E-Commerce Fraud Detection and Prevention DOI
Wasswa Shafik

Advances in web technologies and engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 430 - 469

Published: Aug. 22, 2024

This study explores the transformational potential of generative artificial intelligence (GAI) in commerce fraud detection and prevention within e-commerce, highlighting growing risk fraudulent activities due to rise online transactions data-driven various industries, including finance, healthcare. Conventional rule-based systems often fail keep up with evolving strategies, whereas GAI, employing tools like GANs variational autoencoders, can generate synthetic yet realistic data uncover sophisticated schemes. The chapter presents successful real-world examples GAI applications, emphasizing need for ethical considerations, such as privacy bias prevention, ensure responsible AI implementation. concludes that offers a potent, adaptive, strategy combat fraud, promising safer digital environment if implications are carefully managed.

Language: Английский

Citations

0
Generative Artificial Intelligence and Legal Frameworks: Identifying Challenges and Proposing Regulatory Reforms DOI
Animesh Kumar Sharma, Rahul Sharma

Kutafin Law Review, Journal Year: 2024, Volume and Issue: 11(3), P. 415 - 451

Published: Oct. 16, 2024

This research paper seeks to understand the deficit arising from generative AI and its potential in redefying various sectors suggesting modification on current laws. Generative systems can generate distinctive content which could be used text, images, or music, among others, by training available data. It highlights how influences legal profession terms of work like contract writing, as well newer language models GPT-4 chatbots ChatGPT Gemini are evolving. Thus, while has numerous opportunities, it also raises concerns about ethical issues, authorship ownership, privacy, abuses, such propagation deepfakes fake news. study focuses attention importance strengthening frameworks answer issues challenges linked AI, deepfakes, piracy contents, discriminative impact, naked breaches privacy. calls for proper sensitive use through regulation, openness, commonly agreed global guidelines. emphasizes that innovations need balanced a set effective regulations unleash minimize threats.

Language: Английский

Citations

0