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AI Proficiency in Higher Ed Institutions
Topic outline
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2. Legal and ethical requirements for the use of AI
In this chapter, you will gain a practical overview of the legal and ethical principles governing the use of AI in higher education. You will learn about the key considerations regarding copyright, data protection, examination regulations and ethical principles, and how higher education institutions can integrate AI in a legally compliant and responsible manner.
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CompletionStudents mustView
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CompletionStudents mustView
The use of generative AI in higher education raises complex copyright issues. Here is a concise summary of what lecturers, researchers and examiners need to know about the legal framework, their obligations and the scope for action.
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CompletionStudents mustView
AI and data protection – do they go hand in hand? Higher education institutions must take particular care to protect personal data when using AI systems. This module explains key data protection obligations and highlights what to look out for when developing, deploying and procuring AI solutions.
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AI is transforming examinations – legally, technically and pedagogically. This module demonstrates how higher education institutions can incorporate AI into examination processes in a legally compliant manner, whilst upholding transparency, fairness and students’ rights.
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CompletionStudents mustView
Ethical guidelines are essential for the responsible use of AI in higher education institutions. This module explores key values such as autonomy, fairness and transparency, and shows how higher education institutions can embed these in practice.
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