Fostering Academic Integrity in the Age of Artificial Intelligence

Fostering Academic Integrity in the Age of Artificial Intelligence

Saadia Mahmud
Copyright: © 2024 |Pages: 20
DOI: 10.4018/979-8-3693-0240-8.ch001
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Abstract

Artificial intelligence offers the opportunity to revolutionise work and it is now ubiquitous globally. In higher education the use of generative artificial intelligence has raised concerns about the integrity of assessment and research. The current study analyses the academic integrity policy and practice at leading universities globally to assess the early response to the use of artificial intelligence. A sample of twenty universities (N=20) from four different countries—USA, UK, Australia, and Canada—were selected. Data was collected and analysed in May-June 2023. Fostering of academic integrity at the higher education institutions was assessed using the core elements of exemplary policy and framework for enacting exemplary academic integrity policy. A minority (45%) of the universities mentioned the use of artificial intelligence in their academic integrity policy. Higher education institutions globally need to update academic and research integrity policy and practice to facilitate the ethical use of artificial intelligence.
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Artificial Intelligence And Academic Integrity

Though the term ‘age of artificial intelligence’ is being used in the current context, the conceptualisation of artificial intelligence as machines simulating human intelligence is not new. Almost seven decades ago, the Dartmouth Artificial Intelligence conference in 1955 proposed that “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it” (McCarthy et al., 2006). Artificial intelligence (AI) has been defined as “systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals” (Sheikh et al., 2023). In a learning and teaching context, artificial intelligence (AI) is conceptualised as “computing systems that are able to engage in human-like processes such as learning, adapting, synthesizing, self-correction and use of data for complex processing tasks” (Popenici & Kerr, 2017).

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