Generative AI in Education: Benefits, Challenges, and Future Directions | HackerNoon
Briefly

The integration of generative AI models in education offers a wide range of potential benefits, including improved productivity, enhanced creativity, and personalized learning, while also automating tasks. However, challenges in adoption need to be addressed to ensure responsible usage.
Findings highlight the necessity for further research, regulatory policies, and pedagogical guidance to address issues of academic integrity and equity in AI-enhanced learning. Improper use of generative AI models in education can have ethical and legal implications.
Governments worldwide are working on regulations to tackle ethical and legal challenges presented by generative AI models. The EU AI Act proposes a risk-based approach, categorizing AI systems into different risk levels and aiming to promote trustworthy AI while reducing associated risks.
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