Michal Cholerzynski

What expertise will you bring to AI?

My interdisciplinary expertise bridges business management, digital innovation, and the societal implications of emerging technologies. Accordingly, I hold a BSc in International Business Management and an MSc in Digital Business from Newcastle University Business School, where I developed a strong foundation in corporate strategy, operations, finance, and innovation management.

Notably, my MSc dissertation explored the impact of AI on the mental health care applications market, uncovering key relationships between users’ AI literacy and their perceptions of efficiency, accessibility, and associated risks. This research enhanced my understanding of the socio-technical dimensions of AI adoption and the importance of aligning technological advancement with ethical responsibility.

Ultimately, I bring to AI research both analytical and contextual expertise, with the ability to assess not only how AI technologies function within organisations, but also how they shape human experience, trust, and inclusivity within digital infrastructures.

Research Interests

Besides my fascination with AI in mental health care, my research interests primarily lie in the utilisation of this technology within organisational and employment contexts, particularly in relation to the changing nature of work and human agency. This interest stems from my background and is guided by my academic commitment to societal contribution and sustainable digital business transformation.

Accordingly, as organisations across sectors become increasingly shaped by AI, this technology is influencing people’s professional lives by affecting decision-making, work design, and the evolution of workplace structures. However, despite its potential to enhance efficiency and foster innovation, AI also raises significant ethical and societal challenges, including issues of accountability, transparency, and the preservation of human expertise, potentially reducing human oversight within digital infrastructures.

Therefore, focusing on the IT workforce, my research examines the social and organisational dynamics of AI adoption to ensure that automation strengthens, rather than diminishes, human potential in an increasingly digitalised world. By investigating how AI technologies can be designed and implemented responsibly, my work seeks to balance technological progress and social responsibility, advancing frameworks that promote fairness, accountability, and inclusivity.

What made you want to apply for CCAI?

I applied to the CCAI CDT because of its focus on citizen-centred AI, particularly within the Work and Organisations theme, which closely aligns with my research interests and my commitment to leveraging technology for societal benefits. Furthermore, the centre’s emphasis on ethical and sustainable innovation aligns with my academic values and aspirations to contribute to responsible AI development that prioritises human agency and social well-being.

Notably, I was also drawn to the CDT’s unique cohort-based model, which fosters a collaborative and supportive research environment distinct from traditional doctoral programmes. It offers an opportunity to exchange perspectives and co-develop ideas while situating my work within broader interdisciplinary debates on AI and society.

What are your ambitions for AI? How do you plan to change the world?

My research is dedicated to understanding how AI influences professional identities, organisational rationales and practices, and, most importantly, workforce resilience. It focuses particularly on IT employees, who underpin the digital infrastructures of virtually all sectors while simultaneously serving as both drivers and recipients of this technology, making their experiences critical to understanding the broader societal implications of automation.

Accordingly, my work seeks to ensure that as AI reshapes organisations and employment structures, particularly within IT and related digital professions, its integration strengthens rather than diminishes human agency, expertise, and potential across sectors. In doing so, I aim to advance an ethically grounded and socially responsive approach to AI implementation that places people at the centre of digital transformation.

Ultimately, I aspire to contribute to the development of frameworks and policies that guide responsible AI implementation across sectors, ensuring that technological innovation catalyses sustainable employment, ethical decision-making, and social well-being.