Ethics and challenges of artificial intelligence in education: privacy, equity, and the future of human learning
DOI:
https://doi.org/10.59169/pentaciencias.v7i5.1639Keywords:
ethics; challenges; artificial intelligence; education; human learningAbstract
The objective of this article was to assess the ethics and challenges of AI in education: privacy, equity, and the future of human learning. It was developed from a qualitative approach that prioritized bibliographic research and thematic analysis, which led to the following conclusions: AI in education is neither inherently ethical nor unethical; its impact critically depends on its design, implementation, and governance; the privacy of educational data is a pipe dream in current practice, with significant risks to student autonomy and safety; far from being an equalizer, AI in education is, in practice, amplifying existing equity gaps due to the digital divide and algorithmic biases; The future of human learning under the influence of AI demands a delicate balance between technological efficiency and the holistic development of essential human skills, and the urgent need for ethical AI literacy for all educational stakeholders (students, teachers, parents, and administrators) is critical for responsible implementation.
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