The AI Education Fellowship, provided by LSE, empowers select academics to explore in-depth how AI can transform teaching and learning. My fellowship focuses on investigating innovative methods of teaching and assessment in management.
In collaboration with students, faculty and industry partners, I explore how AI and GenAI affect management education and how we should approach these technologies ethically, in ways that are beneficial for students' learning, transparent, and pedagogically rigorous.
A clear principle underpins my fellowship: educators must lead by example. Preparing future leaders for an AI-augmented world requires modelling critical judgement, professional and personal responsibility, and ethical, human-centred decision-making. Management education should help students understand not only how new technologies are used but also how leadership, accountability, and human judgement remain central in complex organisational settings.
Management education is at a point of significant transition. Advances in AI, shifting labour markets, and evolving organisational expectations are reshaping what it means to lead change and manage organisations effectively. However, the way we teach management does not always meaningfully reflect these changes.
My fellowship responds to this challenge by strengthening the connection between management education, leadership development, and industry practice. Its purpose is to ensure that curricula, assessment and pedagogy equip students with the judgement, skills and value-driven awareness required to lead responsibly in today’s business world.
Integrating generative AI into management curricula and assessments to support learning, reflection, and academic integrity.
Students should be supported to engage critically with emerging tools, understand their limitations, and develop informed professional judgement.
Supporting wider change in how management education is designed and delivered through collaboration and shared practice.
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Beyond individual courses, my fellowship contributes to broader change in how management education is designed and delivered. This work is developed collaboratively with senior academics, students, education technology specialists, and industry partners, supporting shared practice and institutional capability.
Developing future leaders’ ethical judgement and responsibility in AI-augmented organisational contexts.
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At the centre of my work is a commitment to students’ long-term development. Management education must support future leaders in exercising ethical judgement, navigating uncertainty, and taking responsibility for the organisational and social consequences of their decisions. Generative AI is treated as part of the context in leadership development, not something external to it.
Graduates entering today’s labour market are expected to work with AI systems, make informed decisions in uncertain contexts, and
to take responsibility for the social and organisational consequences of their actions.
In my fellowship, I work closely with executives and leading industry representatives to explore how AI is being used in various management functions, including human resources, marketing, finance, operations, and sales.
Exploring how AI can support academic mentoring by reducing administrative burden and strengthening relational student support.
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My fellowship also explores how AI can support academic mentoring. I have designed a custom GPT informed by the types of questions frequently asked by BSc Management students, drawing on over six years of academic mentoring experience.
This tool is being refined in collaboration with colleagues across LSE and will be tested by large-group mentors who support entire year cohorts. Its purpose is not to replace human mentors but to support them by providing quicker access to regulations, policies, course information, and programme requirements, particularly when responding to common and procedural queries such as degree classifications or course choices.
By reducing time spent on routine questions, this approach allows mentors to focus more fully on the relational, developmental, and pastoral aspects of student support that are central to effective academic mentoring.
If you have experience or best practices from industry, academia, or the public sector and are interested in collaborating please get in touch!
The Fellowships is funded by Reid Hoffman, co-founder of LinkedIn