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3 articles
Article 4 Dec 2025
Aivars Spilbergs, Biruta Dzērve, Sandra Ozoliņa, Gunta Innuse-Breidaka, Tatjana Mavrenko, Laima Čable, Agnese Vincēviča, Biruta Sloka, Ginta Tora and Kristīne Liepiņa
This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into
This study examines the primary risks associated with using generative artificial intelligence (GAI) in social science research and proposes a framework for higher education institutions to effectively manage these risks. As universities increasingly integrate GAI into teaching, research, and administration, concerns around intellectual property, academic integrity, data privacy, and ethical use have intensified. This paper explores the adequacy of current legal frameworks in addressing these challenges, drawing on recent legal analyses and institutional practices. Survey data reveal statistically significant differences in perceptions of the need for GAI guidelines based on respondents’ age, education level, field of study, research experience, and geographic region. The findings underscore the urgency of developing adaptive, risk-based policies that support responsible integration of GAI while safeguarding academic standards. The study concludes by proposing guiding principles for a dynamic legal framework that balances innovation with accountability. These recommendations aim to support sustainable and ethical GAI adoption in higher education institutions and contribute to the broader discourse on responsible AI governance in academia.
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Article 1 Nov 2024
Francesco Scalamonti
Highlights of Sustainability
Volume 3 (2024), Issue 4, pp. 354–373
Volume 3 (2024), Issue 4, pp. 354–373
3332 Views3051 Downloads3 Citations
Article 26 Mar 2024
Clint T. Lewis
Small Island Developing States have been identified as some of the most vulnerable countries to the impacts of climate change due to inherent environmental, economic, and demographic characteristics. The cross-cutting reach of climate change impacts has
Small Island Developing States have been identified as some of the most vulnerable countries to the impacts of climate change due to inherent environmental, economic, and demographic characteristics. The cross-cutting reach of climate change impacts has led to the conversation of mainstreaming and its practicality. The study uses a qualitative research design that focuses on interviews with senior officials in the Caribbean at the national and regional levels. The study aims to identify the drivers of, barriers to adaptation mainstreaming into national policies and development plans in the Caribbean, and to derive actions needed to achieve mainstreaming at a national level. The main drivers of mainstreaming are the region’s vulnerability, institutional arrangement, and the government budget, while the major barriers include poor planning and governance, insufficient human resources, and competing development priorities. The paper proposes several key initiatives and actions needed at a national level that can help the region to achieve adaptation mainstreaming. To this end, mainstreaming adaptation at the national level is an essential strategy for building resilience to the impacts of climate change within the region. It cannot be a “one size fits all” approach but one that is tailored by countries to fit the countries’ circumstances and cultures.
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Highlights of Sustainability
Volume 3 (2024), Issue 2, pp. 104–115
Volume 3 (2024), Issue 2, pp. 104–115
2396 Views942 Downloads
Volume 4 (2025), Issue 4, pp. 285–298