By Dr Claire Osborne, Senior Lecturer in Education
In an interview with the journalist Faisal Islam on BBC Newsnight (broadcast June 2026), Jack Clark, co-founder of the artificial intelligence (AI) company ‘Anthropic’ which built the AI software program ‘Claude’, suggested that the people who will benefit most from AI and have the advantage are those that think creatively, are curious, and have broad interests. These remarks were in response to growing concerns around the acceleration of AI technologies without human input. Hence Clark’s call for individuals to ‘indulge in curiosity’ and creativity and even take up a hobby as this may benefit how people use technology.
As the capabilities of generative artificial intelligences (Gen AI) advance and AI systems learn from and with other machines, humans will most likely become ever more reliant on AI generated outputs to inform collective knowledge and our understanding(s) of the world. However, it could be argued that an over reliance on AI outputs without question, or critical evaluation may inhibit original thought and defer our abilities to think for ourselves. Moreover, whose and what knowledge is being constructed and re-produced by artificial intelligences is a matter of contention, whilst issues around ethics, bias, and AI safety are real concerns.
As a professional educator with a background in the arts and humanities, I have begun to ponder on what it means to be in the age of AI. Moreover, I have been thinking about the role of schools in enhancing a state of curiosity in young learners and how teachers are well positioned to foster children’s creative and critical thinking skills across a range of subject disciplines. Developing such learning dispositions may enable us to engage well and responsibly with AI tools now and in the future, so we gain the most from this fast-evolving technology.
Fostering curiosity
The state of being curious is a cognitive activity which can be liken to the creation of thought. According to Loewenstein (1994, p.75), curiosity is “a form of cognitively induced deprivation that arises from the perception of a gap in knowledge or understanding”. To be curious means being interested in the world around you and asking questions. It’s about being inquisitive, seeking out gaps in knowledge, thinking deeply about what we think we know (or do not know) and finding out more. The state of curiosity can help us imagine a wealth of possibilities as we contemplate life and what it means to be. Moreover, being curious about the world can enable us to produce creative and innovative solutions to human problems. Whether or not Gen AI has (or will have) the capacity to think creatively (or be curious) was a question alluded to by Jack Clark in the afore mentioned interview. It was therefore of note, that during the interview Clark suggested that studying the liberal arts, including philosophy – which by design, are subjects that stimulate curiosity and creative thinking – may be especially useful to young people and provide them with an advantage in the age of AI.
The capacity to be mindfully curious will undoubtedly be a powerful human resource much needed in the years ahead as we engage with an ever-changing world. Notwithstanding, as AI becomes a ubiquitous presence in many people’s daily lives, humans will need to learn how to utilise these digital technologies well whilst being curious and critical about how, what, and whose knowledge is circulated in society. Moreover, humans will need to question whether Gen AI outputs are accurate, representative, and contribute to knowledge growth and a better world.
The role of primary schools
Primary school classrooms are unique places where human curiosity can be encouraged and nurtured. As Cross et al., (2016) asserts: “Primary teachers are in a particularly powerful position to stimulate or encourage curiosity through the learning contexts they develop and the ways they scaffold learning with challenges, explanation and invitations to think and act”. These fundamental pedagogical principles can be applied to a range of subject disciplines in the primary years, including the arts and humanities. They can also be applied to how AI systems based on large language models (LLM) are used to generate knowledge whilst encouraging children to think and respond to what is being produced. Evaluating how outputs are created could increase critical dialogue and deepen understanding around how Gen AI can be used effectively as one of many pedagogical tools in the box to advance learning. However, a UK government report into the risks and opportunities of Gen AI (DfE, 2024) conducted by The Open Innovation Team (OIT), suggests that there are some key barriers to AI adoption in education. This includes a lack of knowledge, poor digital skills, and limited infrastructure which could impact on teacher’s digital capabilities (DfE, 2024, p.5). That said, the report contends that Gen AI has the potential to transform education. It goes on to outline the many stated benefits of Gen AI usage among teachers. This includes automating tasks resulting in time efficiency, assisting with lesson content, and helping teachers generate new ideas to enhance creative and engaging teaching (DfE, 2024, p.16). Moreover, the OIT report suggests that adapting to Gen AI technology could change how and what people learn because of the way in which ‘information is synthesised and presented’ (DfE, 2024, p.8).
As people’s digital capabilities grow, and learning communities become more curious about the functionalities of AI systems, primary classrooms have the potential to be and become enabling and creative places where students can play with big ideas using appropriate digital tools as and when needed to advance learning across a broad and balanced primary curriculum (DfE, 2013). Presently, the government seem keen on supporting safe and effective Gen AI adoption in education (DfE, 2024). In addition, last year, the UK government produced an AI Action Plan (DfSIT, 2025) with the intent to increase AI take up across society so Britain can benefit economically and socially from the opportunities AI has to offer. While the English education system undergoes curriculum reform (DfE, 2025a) and the government declares its commitment to supporting primary and secondary schools in England teach a knowledge-rich computing curriculum (DfE, 2025b) it will be of interest to see whether AI education will be high on the curriculum agenda as we face the changes and challenges ahead. As Rachel Arthur, chief learning officer at the independent charity ‘Raspberry Pi’, stresses in a recent interview, every young person needs to digitally upskill, learn how to code, and understand how AI systems work whilst being able to evaluate outputs, especially with regards to bias, ethics, and security (Arthur, 2026). If the UK government is strongly committed to ‘ramping up AI adoption across the UK’ (DfSIT, 2025) and augmenting AI in education, they will need to continue to invest in developing students and teacher’s digital capabilities whilst emphasising the risks and opportunities of AI at the earliest stages in our learning journeys.
Looking forwards
AI will undoubtedly transform (and possibly disrupt) how we work, think, and learn. However, the capacity to think creatively and philosophically whilst remaining curious about the world in which we have been ‘thrown’ (Heidegger, 1927) will be central to human advancement with or without AI. That said, as AI systems become more sophisticated, all knowing, and all doing, humans will need to learn how to use this fast-evolving technology well and to our advantage, whilst critically evaluating the information being generated by the machines we have created. Moreover, teachers and students will need to continually upskill to keep a pace with change so that, together, we can explore new ways artificial intelligences can enhance excellent learning and teaching and enable curious and creative learners of the future to thrive and become active, not passive, participants in shaping the world. I will continue to ponder this as a research project with ECRG members in the 4 strands of research during the next academic year.
References
Arthur, R., (2026) Interview with Aleks Krotoski and Kevin Fong, Will AI replace the people who built it? The Artificial Human, BBC Radio Four, 17 June.
Clark, J. (2026) Interview with Faisal Islam, Newsnight, BBC Two, 04 June.
Cross, A., Borthwick, A., Beswick, K., Board, J. and Chippindall, J. (2016). Introduction. In: A. Cross., A. Borthwock., K. Beswick., J. Board., J. Chippindall ed. (2016) Curious Learners in Primary Maths, Science, Computing and DT [online]. London: SAGE Publications, pp. 1-12 [Accessed 18 June 2026]
DfE (Department for Education) (2013) The National Curriculum in England: Key stages 1 and 2 framework document. Runcorn: DfE. Available from:
https://www.gov.uk/government/publications/national-curriculum-in-england-primary-curriculum [Last accessed 22 June 2026].
DfE (Department for Education) (2024) Generative AI in Education: Educator and Expert Views (Gov. UK) Available at: Generative AI in education: educator and expert views – GOV.UK [Accessed 18 June 2026].
DfE (Department for Education) (2025a) Curriculum and Assessment Review Final Report: Building a world class curriculum for all. Gov. UK. Available at: https://www.gov.uk/government/publications/curriculum-and-assessment-review-final-report [Accessed 12 November 2025].
DfE (Department for Education) (2025b) Generative AI in Education: Educator and Expert Views. Updated 12 August 2025 (Gov. UK). Available at: Generative artificial intelligence (AI) in education – GOV.UK [Accessed 18 June 2026].
DfSIT (Department for Science, Innovation and Technology) (2025) AI Opportunities Action Plan: Ramping up AI adoption across the UK to boost economic growth, provide jobs for the future and improve people’s everyday lives. Independent Report. Gov. UK. Available at: AI Opportunities Action Plan – GOV.UK [Accessed 18 June 2026].
Heidegger, M. (2003 [1927]). Being and Time. Oxford: Blackwell.
Loewenstein, G. (1994) The Psychology of Curiosity: A Review and Reinterpretation. Psychological Bulletin. Volume 116 (1) pp, 75-98.



