ética de la IA

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial educación primaria y secundaria ética

Temas IA: ética de la IA IA y educación revisión de bibliografía

Resumen:

The rapid integration of Generative AI (GenAI) into K-12 education has outpaced our understanding of its potential risks and unintended consequences. Existing reviews have prioritized higher education and technical promise, overlooking the potential developmental risks it poses to children and adolescents in K-12 settings. This scoping review synthesizes 22 empirical studies from K-12 contexts to map the types of risks and concerns reported in research, compile mitigation strategies, and identify priority gaps that could guide more developmentally informed future studies. Across the included studies, reported risks clustered into three domains: (a) risks to psychological wellbeing, with...

Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora's box

Deema Dakakni, Nehme Safa (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de lenguas ética

Temas IA: IA y enseñanza-aprendizaje de lenguas ética de la IA estudio empírico

Resumen:

The purpose of this research was to investigate attitudes of both students and teachers concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive, qualitative, mixedmethods case study whose data were taken from a purposive, convenient sample at a private, English-speaking university during the Summer Semester 2023 in Beirut, Lebanon. Data collection primarily involved an online survey on Google forms which was given to a sample of 49 students taking a research-based English 202 course of which 46 were completed. Afterwards, six English teachers and six students were chosen based on their voluntary will to participate in individual interviews for the...

Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools

Siu-Cheung Kong, Jinyu Zhu (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética alfabetización en IA

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. To address this gap, this study developed a scale to multidimensionally measure AI ethical awareness and cultivated students' AI ethical awareness through problem-solving using AI tools within an AI literacy course. A total of 573 Hong Kong secondary and university students participated in a 14-h course. Data was collected through the AI Ethical Awareness Scale (AIEAS) questionnaire and students' self-reflective writings. The AIEAS framework, encompassing three...

Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework

Michael Alan Chang, Mike Tissenbaum, Thomas M. Philip (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética educación primaria y secundaria

Temas IA: ética de la IA IA y educación estudio empírico

Resumen:

In recent years, the design of AI-based tools for educational spaces have been largely driven by researchers who impart their past expertises, experiences, and perspectives in the design process. While this typically leads to technically feasible designs and are often well-grounded in theories of learning, youth agency is typically limited in this process. In this paper, we argue that designers have a significant ethical responsibility to incorporate youth voices – in particular, their dreams and concerns – into the design of AI tools starting from conception. This need is particularly important as new applications for AI, such as AI-supported collaboration, introduce new surveillance...

Cheating in the age of generative AI: A high school survey study of cheating behaviors before and after the release of ChatGPT

Victor R. Lee, Denise Pope, Sarah Miles (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial integridad académica ChatGPT

Temas IA: chatGPT ética de la IA estudio empírico

Resumen:

The public release of ChatGPT and other generative AI chatbot technologies has been accompanied by questions about how academic integrity and student cheating behaviors will be impacted. We analyzed anonymous survey data from three high schools to see if self-reported cheating numbers changed following the introduction of ChatGPT and similar technologies. This survey data set is unique in that data on cheating had been collected with this set of schools both before and after November 2022, when ChatGPT was publicly released and drew attention to these educational concerns. The results suggested that cheating behaviors remained relatively stable after the introduction of this current...

Coauthorship integrity: Reconceptualising assessment validity for the age of generative artificial intelligence

Mohsen Ebrahimzadeh, Antonette Shibani, Simon Buckingham Shum (2026)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial integridad académica evaluación

Temas IA: IA y evaluación ética de la IA

Resumen:

We consider how a future of pervasive human/AI coauthorship challenges current notions of validity and academic integrity. Specifically, we address widespread concerns that in non-proctored contexts, students are using generative artificial intelligence (GenAI) to submit texts they do not understand. Adopting an assessment validity lens, we show how GenAI undermines the integrity of multiple forms of validity evidence, leading us to propose Coauthorship Integrity as a new conceptual source of validity evidence for addressing these threats. Coauthorship Integrity is violated when students submit AI-generated content that they do not understand. To hold students accountable in this regard, a...

Towards responsible AI for education: Hybrid human-AI to confront the elephant in the room

Danial Hooshyar, Gustav Šír, Yeongwook Yang (2025)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial ética analítica del aprendizaje

Temas IA: ética de la IA IA y educación

Resumen:

Despite significant advancements in AI-driven educational systems and ongoing calls for responsible AI for education, several critical issues remain unresolved—acting as elephant in the room within AI in education, learning analytics, educational data mining, learning sciences, and educational psychology communities. This critical analysis identifies and examines nine persistent challenges across the conceptual, methodological, and ethical dimensions that continue to undermine the fairness, transparency, and effectiveness of current AI methods and applications in education. These include: 1) the lack of clarity around what AI for education truly means—often ignoring the distinct purposes,...

Children as creators, thinkers and citizens in an AI-driven future

Safinah Ali, Daniella DiPaola, Irene Lee (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA competencia digital

Temas IA: IA y educación ética de la IA estudio empírico

Resumen:

Generative Artificial Intelligence (AI) approaches open up new avenues of digital creation, and are simultaneously accompanied by societal and ethical implications such as the creation of Deepfakes and spread of misinformation, renewing our understanding of technical AI systems as socio-technical systems. Applications of, and media generated by generative AI techniques are abundantly present on social media platforms frequented by children, who are not yet aware of the existence of AI-manipulated media. Previous work has highlighted the importance of digital media literacy and AI literacy for children. In this work, we introduce middle school students to generative AI techniques as a tool...

Fostering responsible AI literacy: A systematic review of K-12 AI ethics education

Ming Ma, Davy Tsz Kit Ng, Zhichun Liu (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ética alfabetización en IA

Temas IA: ética de la IA IA y educación revisión de bibliografía

Resumen:

AI ethics education remains significantly underprioritized in classroom practice, despite the global push for AI literacy in K-12 curricula. This systematic review analyzes 68 peer-reviewed publications (from January 2014 to March 2025) to map the research landscape of K-12 AI ethics education. The results reveal global trends in the current research landscape, pedagogical designs addressing major responsible AI (RAI) principles, and various learning assessment methods, and students’ ethical learning outcomes manifested across cognitive, affective, and behavioral domains. By further synthesizing findings, we identify disparities of eastern and western contexts, gaps in addressing RAI...

Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic performance prediction in Germany

Marco Lünich, Birte Keller, Frank Marcinkowski (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje ética

Temas IA: ética de la IA estudio empírico

Resumen:

The integration of Artificial Intelligence (AI) into higher education, particularly through Academic Performance Prediction (APP), promises enhanced educational outcomes. However, it simultaneously raises concerns regarding data privacy, potential biases, and broader socio-technical implications. Our study, focusing on Germany–a pivotal player in shaping the European Union's AI policies–seeks to understand prevailing perceptions of APP among students and the general public. Initial findings of a large standardized online survey suggest a divergence in perceptions: While students, in comparison to the general population, do not attribute a higher risk to APP in a general risk assessment,...