International Scientific Conference
on Information Technology, Computer Science, and Data Science

Ivan Chorbev, Ph.D. 

Professor at the Faculty of Computer Science and Engineering 
Ss. Cyril and Methodius University in Skopje, Republic of North Macedonia


Ivan Chorbev is a Full Professor and Head of the Software Engineering Department at the Faculty of Computer Science and Engineering at UKIM. His main interests and activities include Software engineering, Machine learning, ERP systems, Student information systems, Learning management systems, Assistive technologies, eHealth. He served 7 years for two terms as dean of the faculty as a legal entity with 4000 students and 100 employees. He serves as the member of the Board of Directors in the Business Accelerator UKIM representing the major shareholder – the Ss Cyril and Methodius University in Skopje (UKIM). He also serves as project and startup evaluator for the Fund for Innovation and Technological Development of North Macedonia and the Fund for Innovation of Serbia. He also works as an expert consultant for analysis and development of ICT systems, Software Information Systems, ERP systems in banks, parliaments, corporations and industries etc. He has published more than 100 research papers in the area of machine learning, medical data mining, telemedicine, assistive technologies, software engineering, heuristic optimization algorithms, combinatorial optimization, etc. He was involved or coordinated in 20 international and national application and research projects funded by TEMPUS, FP6, H2020, Erasmus, COST, Horizon Europe. He has developed and managed digital platforms and information systems for over two decades.

Keynote speech title

Next steps on ethics, big data and AI for citizen empowerment


We will delve into the critical intersection of ethics, big data, and artificial intelligence, exploring the next steps in fostering citizen empowerment. As we witness the rapid evolution of technology, it is imperative to address ethical considerations surrounding data collection, analysis, and AI implementation, Cybersecurity. This presentation will assess the current ethical landscape, emphasizing the need for transparency, accountability, and inclusivity in the development and deployment of AI systems.

We will examine the potential impact of big data and AI on citizen empowerment, focusing on the opportunities and challenges that arise. The discussion will include real-world examples of how these technologies can be harnessed to enhance civic engagement, decision-making processes, and public services. Additionally, we will highlight the risks associated with data misuse, privacy infringements, and algorithmic bias, emphasizing the importance of ethical frameworks and regulations to safeguard citizen rights.

The talk will conclude with a forward-looking perspective, proposing actionable steps for policymakers, technologists, and citizens alike to collaboratively shape a future where big data and AI contribute positively to citizen empowerment. By fostering a dialogue on ethics, inclusivity, and responsible innovation, we aim to lay the groundwork for a society where technological advancements align with democratic values, ensuring that the benefits of AI are equitably distributed for the greater empowerment of citizens.