Balancing Privacy and Ethics in the Use of Artificial Intelligence in Education
DOI:
https://doi.org/10.71068/jhcx0s43Palabras clave:
sustainable tourism, entrepreneurship education, local economic development, international cooperation, intercultural educationResumen
This study examines the link between sustainable tourism and entrepreneurial education in Michoacán, analyzing their impact on promoting regional economic growth and international collaboration. The crucial role of the tourism sector as a driver of local development and job creation is emphasized, as well as its connection with entrepreneurship training and innovation. The research delves into the relevance of an interculturally-focused education in fostering sustainable tourism in Michoacán, promoting appreciation and consideration for cultural and linguistic diversity. Additionally, it evaluates the significance of global cooperation in the evolution of Michoacán's tourism industry, and how this relates to the promotion of academic exchanges and collaborative research initiatives. The study underscores the need to implement a participatory tourism management model in Michoacán, harmoniously integrating various stakeholders, including local governments, indigenous communities, and businesses in the sector. In conclusion, it is proposed that entrepreneurial education and the promotion of sustainable tourism can serve as effective strategies to boost local economic development and strengthen international cooperation in the Michoacán region.
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Akgun, S. & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. https://doi.org/10.1007/s43681-021-00096-7
Alam, A. (2021, November). Possibilities and apprehensions in the landscape of artificial intelligence in education. In 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) (pp. 1-8). http://dx.doi.org/10.1109/ICCICA52458.2021.9697272.
Amo Filvá, D., Prinsloo, P., Alier Forment, M., Fonseca Escudero, D., Torres Kompen, R., Canaleta Llampallas, X., & Herrero Martín, J. (2021). Local technology to enhance data privacy and security in educational technology. International journal of interactive multimedia and artificial intelligence, 7(2), 262-273. http://dx.doi.org/10.9781/ijimai.2021.11.006
Baker, R. S., & Hawn, A. (2021). Algorithmic bias in education. International Journal of Artificial Intelligence in Education, 1-41.edarxiv.org, https://doi.org/10.1007/s40593-021-00285-9
Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence.sciencedirect.com, https://doi.org/10.1016/j.caeai.2022.100068
Bogina, V., Hartman, A., Kuflik, T., & Shulner-Tal, A. (2021). Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics. International Journal of Artificial Intelligence in Education, 1-26. https://api.semanticscholar.org/CorpusID:235554555
Borenstein, J. & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics.springer.com, https://doi.org/10.1007/s43681-020-00002-7
Chan, C. K. Y. & Tsi, L. H. Y. (2023). The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?. arXiv preprint arXiv:2305.01185.arxiv.org, https://doi.org/10.48550/arXiv.2305.01185
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International journal of educational technology in higher education, 20(1), 38.springer.com, https://doi.org/10.1186/s41239-023-00408-3
Chan, K. S. & Zary, N. (2019). Applications and challenges of implementing artificial intelligence in medical education: integrative review. JMIR medical education.jmir.org, https://doi.org/10.2196/13930
Chinnasamy, P., Deepalakshmi, P., Dutta, A. K., You, J., & Joshi, G. P. (2021). Ciphertext-policy attribute-based encryption for cloud storage: Toward data privacy and authentication in AI-enabled IoT system. Mathematics, 10(1), 68.mdpi.com, https://doi.org/10.3390/math10010068
Elhoseny, M., Haseeb, K., Shah, A. A., Ahmad, I., Jan, Z., & Alghamdi, M. I. (2021). IoT solution for AI-enabled PRIVACY-PREServing with big data transferring: an application for healthcare using blockchain. Energies, 14(17), 5364. https://api.semanticscholar.org/CorpusID:239674237}
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., ... & Vayena, E. (2021). An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Ethics, governance, and policies in artificial intelligence, 19-39. https://ssrn.com/abstract=3284141
Filani, Joshua, Data Privacy in the Digital Age: Analyzing the impact of Technology of U.S Privacy Regulations (February 01, 2024). Available at SSRN: https://ssrn.com/abstract=4762809
Friedman, B., Kahn Jr, P. H., & Borning, A. (2019). Value Sensitive Design and information systems. In The Handbook of Information and Computer Ethics (pp. 3-35). John Wiley & Sons. https://doi.org/10.1007/978-94-007-7844-3_4
Gamage, K. A. A., Silva, E. K., & Gunawardhana, N. (2020). Online delivery and assessment during COVID-19: Safeguarding academic integrity. Education Sciences. https://doi.org/10.3390/educsci10110301
Gupta, P., Yadav, D., & Dey, R. (2021). AI Diagnosis: Rise of AI-Powered Assessments in Modern Education Systems. Transnational Marketing Journal. http://dx.doi.org/10.33182/tmj.v9i3.1323
Hamilton, C., Swart, W., & Stokes, G. M. (2021). Developing a Measure of Social, Ethical, and Legal Content for Intelligent Cognitive Assistants. Journal of Strategic Innovation and Sustainability. http://dx.doi.org/10.33423/jsis.v16i3
Hasan, R. (2023). Understanding the Perception and Awareness of Education Technologies' Privacy and Security Issues. Proceedings on Privacy Enhancing Technologies. https://api.semanticscholar.org/CorpusID:259953231
Holmes, J., Williams, S., & Johnson, L. (2021). Balancing Privacy and Ethics in AI Integration in Education. Journal of AI and Education. http://dx.doi.org/10.1007/s40593-021-00239-1
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., ... & Koedinger, K. R. (2021). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 1-23. https://doi.org/10.1007/s40593-021-00239-1
Hu, X., Neupane, B., Echaiz, L. F., Sibal, P., & Rivera Lam, M. (2019). Steering AI and advanced ICTs for knowledge societies: a Rights, Openness, Access, and Multi-stakeholder Perspective. https://unesdoc.unesco.org/ark:/48223/pf0000372132
Jones, K. M. (2019). Learning analytics and higher education: a proposed model for establishing informed consent mechanisms to promote student privacy and autonomy. International Journal of Educational Technology in Higher Education, 16(1), 1- https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-019-0155-0
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017
Kassens-Noor, E., Wilson, M., Kotval-Karamchandani, Z., Cai, M., & Decaminada, T. (2021). Living with autonomy: Public perceptions of an AI-mediated future. Journal of Planning Education and Research, 0739456X20984529. https://doi.org/10.1177/0739456X20984529
Kizilcec, R. F. & Lee, H. (2022). Algorithmic fairness in education. The ethics of artificial intelligence in education. https://doi.org/10.48550/arXiv.2007.05443
Kousa, P. & Niemi, H. (2022). AI ethics and learning: EdTech companies' challenges and solutions. Interactive Learning Environments. https://doi.org/10.1080/10494820.2022.2043908
Larsson, S. & Heintz, F. (2020). Transparency in artificial intelligence. Internet Policy Review. https://www.semanticscholar.org/paper/Transparency-in-artificial-intelligence-Larsson-Heintz/73395c0a04a86f2c504fc9d02076266620a54e7a
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., ... & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in education. Frontiers in psychology, 11, 580820. https://doi.org/10.3389/fpsyg.2020.580820
Mian, S. H., Salah, B., Ameen, W., Moiduddin, K., & Alkhalefah, H. (2020). Adapting universities for sustainability education in industry 4.0: Channel of challenges and opportunities. Sustainability, 12(15), 6100. http://dx.doi.org/10.3390/su12156100
Mishra, R. A., Kalla, A., Braeken, A., & Liyanage, M. (2021). Privacy protected blockchain based architecture and implementation for sharing of students’ credentials. Information Processing & Management, 58(3), 102512. https://doi.org/10.1016/j.ipm.2021.102512
Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics. https://www.semanticscholar.org/paper/The-Ethical-Implications-of-Using-Artificial-in-Munoko-Brown-Liburd/213807c86141298c0bbf82d230d29ebd0be3b136
Nezhad, M. Z., Nazarian-Jashnabadi, J., Rezazadeh, J., Mehraeen, M., & Bagheri, R. (2023). Assessing dimensions influencing IoT implementation readiness in industries: A fuzzy DEMATEL and fuzzy AHP analysis. Journal of Soft Computing and Decision Analytics, 1(1), 102-123. http://dx.doi.org/10.31181/jscda11202312
Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. P. T. (2023). Ethical principles for artificial intelligence. https://doi.org/10.1007/s10639-022-11316-win education. Education and Information Technologies, 28(4), 4221-4241.
Pechenkina, K. (2023). Artificial intelligence for good? Challenges and possibilities of AI in higher education from a data justice perspective. Higher Education for good: Teaching and learning futures (# HE4Good). Cambridge, UK: Open Book Publishers. http://dx.doi.org/10.11647/obp.0363.09
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. https://unesdoc.unesco.org/ark:/48223/pf0000366994
Peters, D., Vold, K., Robinson, D., & Calvo, R. A. (2020). Responsible AI—two frameworks for ethical design practice. IEEE Transactions on Technology and Society, 1(1), 34-47. doi: 10.1109/TTS.2020.2974991
Prinsloo, P., Slade, S., & Khalil, M. (2022). The answer is (not only) technological: Considering student data privacy in learning analytics. British Journal of Educational Technology, 53(4), 876-893. https://doi.org/10.1111/bjet.13216
Rawas, S. (2023). ChatGPT: Empowering lifelong learning in the digital age of higher education. Education and Information Technologies. https://link.springer.com/article/10.1007/s10639-023-12114-8
Regan, P. M. & Jesse, J. (2019). Ethical challenges of edtech, big data and personalized learning: Twenty-first century student sorting and tracking. Ethics and Information Technology. https://doi.org/10.1007/s10676-018-9492-2
Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B. (2020). The ethical balance of using smart information systems for promoting the United Nations’ Sustainable Development Goals. Sustainability, 12(12), 4826. https://doi.org/10.3390/su12124826
Saliju, L. & Deboi, V. (2023). … Personalization and Privacy in AI-Driven Technologies: Exploring Personal Information Disclosure Behavior to AI Voice Assistants and Recommendation Systems. https://hj.diva-portal.org/smash/get/diva2:1761979/FULLTEXT01.pdf
Selwyn, N. (2019). Should robots replace teachers?: AI and the future of education. https://research.monash.edu/en/publications/should-robots-replace-teachers-ai-and-the-future-of-education
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International journal of educational technology in higher education, 18(1), 1-23. https://doi.org/10.1186/s41239-021-00292-9
Shemshack, A., & Spector, J. M. (2020). A systematic literature review of personalized learning terms. Smart Learning Environments, 7(1), 1-20. https://slejournal.springeropen.com/articles/10.1186/s40561-020-00140-9
Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the Power of AI to Education. In Learning, Teaching, and Assessment Methods for Contemporary Learners: Pedagogy for the Digital Generation (pp. 311-342). Singapore: Springer Nature Singapore. http://dx.doi.org/10.1007/978-981-19-6734-4
Ungerer, L., & Slade, S. (2022). Ethical considerations of artificial intelligence in learning analytics in distance education contexts. In Learning Analytics in Open and Distributed Learning: Potential and Challenges (pp. 105-120). Singapore: Springer Nature Singapore. http://dx.doi.org/10.1007/978-981-19-0786-9_8
Vincent-Lancrin, S. & Van der Vlies, R. (2020). Trustworthy artificial intelligence (AI) in education: Promises and challenges. https://school-education.ec.europa.eu/en/discover/publications/trustworthy-artificial-intelligence-promises-challenges
Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995
Xiong, J., Zhao, M., Bhuiyan, M. Z. A., Chen, L., & Tian, Y. (2019). An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT. IEEE Transactions on Industrial Informatics, 17(2), 922-933. https://link.springer.com/article/10.1007/s11704-024-3542-1
Xu, S. & Yin, X. (2022). Recommendation system for privacy-preserving education technologies. Computational Intelligence and NeurosciencE. https://doi.org/10.1155/2022/3502992
Yang, S. J., Ogata, H., Matsui, T., & Chen, N. S. (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence, 2, https://doi.org/10.1016/j.caeai.2021.100008
Yin, J., Ngiam, K. Y., & Teo, H. H. (2021). Role of artificial intelligence applications in real-life clinical practice: systematic review. Journal of medical Internet research. https://doi.org/10.2196/25759
Zhai, C. X., Du, A., & Jin, Y. (2021). Artificial intelligence for education in the post-COVID-19 era: A systematic and bibliometric review. Artificial Intelligence Review, 1-25. https://www.semanticscholar.org/paper/A-Review-of-Artificial-Intelligence-(AI)-in-from-to-Zhai-Chu/83311744b174550032cfe09cb2940703dc9c9245
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18. https://www.semanticscholar.org/paper/A-Review-of-Artificial-Intelligence-(AI)-in-from-to-Zhai-Chu/83311744b174550032cfe09cb2940703dc9c9245
Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2023). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 33(2), 290-324. https://doi.org/10.1007/s40593-022-00293-3
Zhang, K. & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2021.100017
Zhang, L., Basham, J. D., & Yang, S. (2020). Understanding the implementation of personalized learning: A research synthesis. Educational Research Review. https://doi.org/10.1016/j.edurev.2020.100339
Zhang, Y., & Aslan, S. (2021). Privacy challenges in AI-enabled online education. Smart Learning Environments, 8(1), 1-14. https://doi.org/10.1016/j.caeai.2021.100025
Zheng, L., Niu, J., Zhong, L., & Gyasi, J. F. (2021). The effectiveness of artificial intelligence on learning achievement and learning perception: A meta-analysis. Interactive Learning Environments, 1-15. https://psycnet.apa.org/doi/10.1080/10494820.2021.2015693
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Derechos de autor 2024 José Martínez Peña, Omar Becerra Moreno, Ángel Leonel Ortiz Herrera, Tzitzi Erandi Becerra Moreno (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
