Technology (which usually means AI these days) and inclusive practices in education are being linked with increasing frequency. Earlier this year, the IATEFL Learning Technologies SIG organised a pre-conference event at the annual IATEFL fair entitled ‘Researching and promoting inclusive language practices through technology’. The ‘big debate’ at the same event was on the same topic. Next year, they are calling their event ‘Tech-enhanced Pedagogy for Equity and Critical Thinking in the AI Era’. This month, at the ELT Malta conference, there will be presentations about ‘Harnessing AI for inclusive ELT: promoting diversity, equity, and accessibility’, ‘Using AI ethically to promote diversity and inclusion in ELT’ and ‘Enhancing bi/multilingual English language teaching with artificial intelligence’.
But will AI contribute to DEI in ELT?
It is not hard to think of instances where AI could ‘aid accessibility for some learners, for instance, allowing individuals with visual impairments to use speech to interface with computers’ (Edmett et al., 2024: 11). It is also true that AI can be used to quickly generate multimodal texts and other learning materials (including feedback) that may be more appropriate and inclusive than those typically found in internationally published coursebooks. Other examples can be found.
However, as the British Council report (Edmett et al., 2024: 11) points out, ‘the challenges of AI use in ELT are underreported’. Two issues are highlighted. The first is that AI applications reflect the models on which they are trained, and these are almost invariably corpora of standardised, white, middle-class, native-speaker English. The result is about as far as one could imagine from an anti-racist pedagogy (Ramjattan, 2024): prejudice and bias are reinforced. More generally, texts and images generated by AI are likely to perpetuate the stereotypes and prejudices. There is a well-documented history of discriminatory outcomes because of people’s race, gender, social class or disability profile (O’Neil, 2016).
The second issue that the British Council highlights is the ‘potential for AI to wider digital divides (for example, when ‘AI is widely adopted in better-resourced education systems but not in lower resourced systems’ (Edmett et al., 2024: 11).
One major point struck me from the British Council survey of teachers. There is no reporting of AI use to address DEI issues in actual classrooms. I was hoping to find out more about actual DEI use (in ELT) of AI by reading a recent article, ‘How does generative AI promote autonomy and inclusivity in language teaching?’ (Szabó & Szoke, 2024). The choice of auxiliary verb (‘does’, as opposed to ‘could’ or ‘might’) in the title suggests that generative AI actually does promote inclusivity, but the article itself is restricted to descriptions of potential use (of the kind listed at the start of this section). As the article progresses, the auxiliary ‘does’ is dropped in favour of ‘can’. There are no referenced descriptions of AI use to help English language learners with specific learning needs, how effective these might or might not be, or how widespread their use is. Although I know that there are many ways in which AI could be used to help such learners, my suspicion is, sadly, that these are not especially widespread.
On the other hand, Szabó & Szoke (2024) provide plenty of references to support their view ‘that the use of GenAI in language classrooms will continue to deepen existing inequities’ (of access).
The discoursal context
All the talk about AI and DEI in ELT is part of a broader discourse: it reflects and reinforces this broader discourse. Here are a few examples of this broader discourse.
At next year’s BETT show (the number one educational technology sales event), the top ‘global theme’ will be ‘diversity and inclusion’: ‘Prioritising inclusion means using accessible technology and design principles that accommodate different learning styles. This approach removes barriers, celebrates diversity and empowers underserved communities to fully participate in learning’. The sponsor of this global theme is HP, the manufacturer of computers and printers. According to Enrique Loras, president of HP, ‘we embed diversity and inclusion into everything we do’. This no doubt includes their provision of servers, data storage and data security for Israeli prisons.
The opening plenary at next month’s online Edtech World Forum (another sales event) is entitled ‘Leveraging Technology and Media to Design more Inclusive Learning Opportunities’. The speaker, Amin Marei, lectures at Harvard, but is also the co-founder of Edlabs, a private edtech consulting company. Main sponsors of the event include Coursera and Google. Other keynote speakers include the CEO of SchoolOnline.ai, a Google edtech account executive, the CEO of the WordUp app who is currently ‘launching a brand new UK university, focused on AI, tech and innovation’, and the CEO of a company selling personalized online instruction to kids (using their preferential learning styles). The fully-inclusive, full-price to attend the two-day (virtual) event is £529.
Google’s Chromebooks now dominate the global secondary education market. The company likes to trumpet their listing as the World’s Most Inclusive Brand on Kantar’s 2024 Brand Inclusion Index. Their Chief Diversity Officer, Melonie Parker (she / her), writes that ‘building belonging for everyone means ensuring no one is left out and each person can thrive’. Last October, a New York jury found the company guilty of sex discrimination and retaliation, and ordered it to pay $1.15 million to the woman concerned.
Yes, DEI is currently being used to sell educational technology. A year or two back, it was edtech and social-emotional learning; before that, it was edtech and twenty-first century skills. And for a while it was (and still sometimes is) edtech and learning styles. But right now, it’s DEI. As one company of edtech sales and marketing consultants puts it, ‘diversity, equity, and inclusion (DEI) are crucial to a successful business strategy’. This isn’t purely woke-washing, but woke-washing is an important part of it. This ‘sanitises toxic business practices’ although, as Guardian columnist, Arwa Mahdawi, puts it, there may be ‘something to be said for the fact that big companies feel compelled to don a progressive veneer’.
I don’t want to argue that AI cannot help DEI initiatives in English language teaching / learning. I certainly don’t want to suggest that all of those conference presentations about AI and DEI are anything other than very well-meant. Without them, AI in ELT would be even less likely to lead to any measurable gains in D, E or I. But I think it’s important to remember that, on the whole, AI is possibly more likely to reinforce prejudices and practices that we should have abandoned long ago. The association of AI with DEI is probably more beneficial to the cause of AI than it is to the cause of DEI. You don’t need to be a cynic to realise that all that stuff about DEI at BETT and the Edtech World Forum is sales-driven. My worry is that the main beneficiaries of the current focus on DEI and AI in language teaching will not be the under-represented and under-served diversity of learners, but the vendors and those others who make a living in their wake.
References
Edmett, A., Ichaporia, H. & Crichton, R. (2024) Artificial Intelligence and English Language Teaching: Preparing for the Future (Second Edition). British Council.
O’Neil, C. (2016) Weapons of Math Destruction. London: Allen Lane
Ramjattan, V. A. (2024) Imagining an anti-racist pedagogy. ELT Journal, 78 / 3: 318 – 325
Szabó, F. & Szoke, J. (2024) How does generative AI promote autonomy and inclusivity in language teaching? ELT Journal, 27 September 2024 https://academic.oup.com/eltj/advance-article/doi/10.1093/elt/ccae052/7784519




