Overview
This PhD project will take a multidimensional approach to exploring how Corporate Governance responds to the fast-changing and broad application of Artificial Intelligence (AI) at the organisational levels.
AI is considered one of the most important technological innovations at present. AI holds myriad uses for different organisations and industries. For example, retail and shipping use AI for predictive logistics, Q&A through chatbots, or making recommendations related to customer preferences. Financial firms have found its use in fraud detection, automated trading, or financial advisory services. Healthcare organisations use AI to improve patient outcomes by automating clinical documentation and patient communication. While the possibilities of its use are endless, it is important to make it responsible for not disrupting the operational environment. Therefore, corporate governance has a crucial role in ensuring that AI adoption is safe and sound.
In addition, while organisations try to build their strategies around AI, they need to consider various associated AI risks, such as investment and compliance failures, operational, cyber-security, data, output, or people management-related risks. Thus, organisations must ensure solid ethical foundations that can manage risks and provide adaptable governance frameworks.
Corporate governance needs to be more vigilant in its oversight duties by asking the right questions and pressure-testing management’s plan to embed AI in its processes. Directors need to properly oversee cybersecurity risks, ensure strong governance mechanisms, promote healthy communication policies and implementation, and comply with ongoing regulatory requirements.
This project aims to (but is not limited to):
i.Explore the AI adoption trends in various industries
ii.Examine the role played by corporate governance in AI adoption
iii.Examine how corporate governance is tackling the risks associated with AI adoption
iv.Examine how corporate governance adopts AI for sustainable business practices or outcomes.
Methodology:
The project can be conducted based on quantitative, qualitative, or mixed methods.
We would welcome candidates who would like to explore the role of corporate governance in countering the threats and opportunities related to AI in different organisational settings.
Staff profiles
Entry qualifications
MSc in business, management or other social science discipline relevant to the topic.
How to apply
Applications for October 2025 intake closes on 1st July 2025 and applications for Jan 2026 intake closes on 1st October 2025. Please visit our how to apply page for a step-by-step guide and make an application.
Fees and funding
This is a self-funded PhD project for UK and International applicants.
Guidance and support
For more information about the NBS PhD Programme, including entry requirements and application process, please visit: https://www.ntu.ac.uk/course/nottingham-business-school/res/this-year/research-degrees-in-business
Nottingham Business School is triple crown accredited with EQUIS, AACSB and AMBA – the highest international benchmarks for business education. It has also been ranked by the Financial Times for its Executive Education programmes in 2023 and 2024. NBS is one of only 47 global business schools recognised as a PRME Champion, and held up as an exemplar by the United Nations of Principles of Responsible Management Education (PRME).
Its purpose is to provide research and education that combines academic excellence with positive impact on people, business and society. As a world leader in experiential learning and personalisation, joining NBS as a researcher is an opportunity to achieve your potential.