Lora Salomidou
AI in Products, Organisations, and Life
About
My work focuses on how artificial intelligence operates once it enters real organisational and social contexts. I am interested in how AI systems are used, interpreted, relied upon, and governed in practice, rather than how they are described in idealised or purely technical terms.
My background is in product management and systems design, which shapes how I approach AI: as something embedded in workflows, institutions, and decision-making environments. Questions of responsibility, uncertainty, and accountability tend to surface not at the level of models alone, but at the level of use, coordination, and organisational behaviour.
I am currently completing a Master's degree in Artificial Intelligence at the University of Southampton. My studies cover core AI concepts, including statistical and machine learning methods and AI systems design, alongside the ethical, societal, and professional implications of AI technologies. A central concern of my academic work is how AI reshapes work, influences organisational decision-making, and redistributes judgement between humans and automated systems.
Across both academic and practical contexts, my attention is drawn to the gap between how AI systems are designed to function and how they are actually experienced. This includes how uncertainty is communicated through AI outputs, how trust is established or undermined, and how governance mechanisms operate in practice rather than on paper.
Current
Master's Studies in Artificial Intelligence
Currently completing a Master's degree in Artificial Intelligence at the University of Southampton. The programme covers core AI concepts, including statistical and machine learning methods and AI systems design, alongside the ethical, societal, and professional implications of AI technologies. Academic work focuses on how AI reshapes work, decision-making, and organisational practice, and how responsibility and governance are handled in applied settings.
Previous
Product Management and Systems Design
Professional background in product management and systems design, working on technology-driven products and services. Experience includes translating technical capabilities into usable systems, collaborating across engineering and business teams, and observing how system design decisions shape organisational behaviour over time.
AI Governance in Practice
How governance frameworks, policies, and internal guidelines are translated into day-to-day organisational behaviour, and where they break down in real deployments.
AI Safety and Responsibility by Design
How assumptions, safeguards, and limits can be embedded into AI systems at the design and system-architecture level, rather than treated as afterthoughts.
Uncertainty, Risk, and Decision-Making
How AI systems behave under uncertainty, how confidence is communicated through outputs, and how humans interpret and rely on AI-supported decisions.
AI, Work, and Workforce Transformation
How AI reshapes roles, skills, and careers, and how organisations can adapt responsibly as tasks are redistributed between humans and automated systems.
AI and Children
The specific challenges of AI systems that interact with or affect children, including long-term societal impact, responsibility, and the limits of current regulatory approaches.
Regulation and Feasibility
Examining whether emerging AI regulations are practically actionable, where regulatory gaps and oversights exist, and how well regulatory frameworks keep pace with technological change.
Let's connect
I'm always interested in conversations with others thinking seriously about AI governance, whether academics, practitioners, or policymakers.