About
Dr Dorottya Sallai serves as the Department of Management’s Education and Assessment Innovation Lead, Chair of the Artificial Intelligence (AI) Working Group, and the department’s representative in LSE’s AI Working Group. Her work in management education focuses on innovation and the integration of digital technologies, simulation games, and generative AI into teaching, learning, and assessment practices.
In her interdisciplinary research, Dorottya explores how organisations and leaders navigate institutional transitions and relationships at the intersection of management, politics, artificial intelligence (AI), education, and policy. She is particularly interested in how executive decision-making, strategy, foreign direct investment (FDI), and education are shaped by global political and technological changes, such as the rise of populism and the emergence of generative AI (GenAI).
Dorottya has received consistent recognition for teaching excellence, including LSE’s Outstanding Teaching Award and Excellence in Education Award, the Department of Management’s Academic Contribution Award, and first place in the Top Ten Teachers’ Award.
Drawing on her professional background in EU consulting prior to her academic career, she advises public- and private-sector organisations, as well as European institutions such as the European Commission.
She is an affiliate of LSE’s Data Science Institute, and Senior Fellow of the Higher Education Academy.
Research
Research projects:
- AI in Management Education: Integrating AI into teaching, learning, and assessment in management through screening, practice building, and practice sharing.
- GENIAL-HUB for AI in Education: Explore how full-time undergraduate and postgraduate students use popular GenAI tools in learning and assessment.
- Faculty Advisor in Education 2.0: Navigating the Post-GenAI world: This student-led initiative, funded by Civica equips students and educators with strategies to adapt to AI, fostering an academic culture where AI complements rather than replaces human intellectual effort.
- Eden Development Fellowship AI in Teaching Change Management. The project aimed to catalyse the integration and advancement of digital and AI-enhanced teaching methodologies within the Change Management curriculum.
- POPBACK - Populist Backlash, Democratic Backsliding, and the Crisis of the Rule of Law in the European Union. The work package led by Dr Sallai focused on how the rise of populism increases political risk and undermines the Rule of Law in the economy and business environment, impacting multinational enterprises (MNEs) and firms. It also examines the coping strategies businesses adopt in response.
Teaching
Courses:
- BSc Management and MSC HRO: Leading Organisational Change
- LSE Summer School: Leading Organisational Change in the Age of Generative AI
- LSE Executive Education: AI in Management: Transforming Leadership for the Digital Age
- LSE Executive Online Education: AI Leadership Online Career Accelerator
- Executive Global Master’s in Management: Lobbying, Nonmarket Strategy and Political Influence in an International Business Context, since 2023
- CEMS Exchange and Global MSc in Management: Lobbying, Nonmarket Strategy and Political Influence in an International Business Context (Guest Lecturer), since 2023
- LSE Cities: Executive MSc in Cities Module 5 (PP4A5/6E): Collaborative Leadership through Design Thinking: Negotiation as Collaboration, since 2023
Engagement and impact
Dr Dorottya Sallai's advisory work is grounded in peer-reviewed research, tested through executive education with senior leaders across industries, and shaped by practical experience. She helps leaders build the judgement, governance structures, and organisational capabilities needed to make transformation work.
Engagement opportunities
Dr Sallai provides targeted advisory services that help leaders make informed decisions, unlock value, and reduce risk. This includes AI readiness assessment, defining strategic direction, developing an AI roadmap, as well as the governance structures and policy frameworks that enable responsible, ethical implementation.
Best for: leadership teams navigating AI adoption, organisations formalising AI governance, regulated or high-trust environments, public sector bodies, and universities.
Technology only delivers value when people use it. Leading change is the biggest challenge in AI transformation — yet it's often left to the implementation stage. Make it a strategic capability. Dr Sallai supports leaders and organisations managing large-scale transformations — helping them build capability, align stakeholders, and embed lasting change.
Typical engagements include:
- Transformation strategy: defining direction, aligning leadership priorities, and establishing success criteria
- Organisational change readiness and alignment with AI readiness
- Trust and adoption: guiding leaders on the conditions for psychological safety and fostering an agile learning culture
Best for: organisations facing resistance or change fatigue, programmes under pressure, or those navigating complex, high-stakes change.
Dr Sallai designs and delivers evidence-based learning for leadership teams — building the judgement and confidence to lead through market hype and complexity. She also delivers keynotes and executive briefings that establish a common language and reset expectations.
Formats: keynotes, executive briefings, masterclasses, bespoke training, and workshops.
Best for: board and executive events, leadership away-days and conferences.
Get in touch with Dr Sallai to learn more about her work or book a consultation.
Resources
Dr Dorottya Sallai's frameworks translate research into practical tools for senior leaders, educators and organisations navigating AI adoption and organisational transformation. Each one is grounded in academic evidence, shaped by advisory experience, and designed to support real decisions — not just inform them.
AI Frameworks
A practical leadership framework to guide AI transformation from readiness and capability building to strategy alignment and measurable results.
The AI LEAD™ Framework is a four-stage leadership approach to implementing AI responsibly and effectively. It helps leaders understand context and readiness, build trust and change capability, align strategy to value, and deliver results through iterative processes.
| Learn the Context | Equip Leadership and People | Align on Strategy | Deliver Results |
|---|---|---|---|
| Understand the AI landscape, vendor realities, and dependencies. | Build change management capabilities as a strategic priority | Identify pain points AI will address and how it creates value | Implement with iterative and inclusive processes and accessible feedback mechanisms |
The AI Readiness Assessment Survey evaluates an organisation's AI Readiness across six critical dimensions: Data, Governance, People, Technology, Strategy, and Customers. Once you complete the survey, you will receive a bespoke AI Readiness Report. The report offers actionable insights to help organisations identify next steps and prepare for AI-driven transformation.
The 15-20 minute assessment delivers:
- Comprehensive evaluation across six dimensions of organisational readiness
- Personalised AI Readiness Report delivered to your email
- Contribution to academic research
The GENIAL framework sheds light on the dynamics of AI-human interaction at all stages of the experiential learning cycle, allowing us to identify how GenAI tools affect the learning journey.
The framework reveals how students learn with GenAI and identifies if critical steps are missed. By introducing a diagnostic notation that maps GenAI interactions onto Kolb's learning stages, the framework enables educators to mark whether each stage is catalysed (+), disrupted (-), or skipped entirely.
The Genial Framework helps us turn vague concerns about ‘AI cheating’ into a precise diagnostic evaluation, enabling educators and policymakers to address the negative impacts of GenAI usage on learning as well as the curriculum.