Team for the Social Aspects of AI
The team is composed of staff members from the Institute of Social Economy and supports the research of the SGH AI Lab in the field of the social aspects of AI and the application of artificial intelligence in public policy. As part of this collaboration, team members have contributed to research involving participants in the first edition of the SGH and Google Skills of Tomorrow: AI programme as well as to the development of the Implement Consulting Group report, "The AI Opportunity for eGovernment in Poland". The team is also conducting research on the use of AI in local government units.
Staff:
Joanna Felczak, PhD – As a researcher of social exclusion, crime, and education, she analyses the complex relationships between psychological factors and the mechanisms of social marginalisation. Her interests are concentrated on the use of artificial intelligence in diagnosing social risk, designing educational interventions, and supporting rehabilitation processes. She applies her expertise in interdisciplinary research projects that integrate a psychological perspective with technological innovations to foster more inclusive and equitable societies.
Ewa Jastrzębska, PhD – An economist specialising in sustainable development and ethics. Her previous research has focused on the contribution of business to the implementation of the sustainable development paradigm and on corporate social responsibility (CSR/ESG). Her extensive experience in business ethics provides a natural foundation for her current interests, which encompass the ethical challenges associated with the design, implementation, and use of AI systems.
Andrzej Klimczuk, PhD – As a sociologist and public policy expert, he analyses the application of digital social innovations in response to population ageing. He utilises his expertise in international research projects concerning the silver economy and the creation of smart and age-friendly environments.
Magdalena Kocejko, PhD – In her research, she focuses on an intersectional and human rights-based approach to social policy, primarily within the context of support systems for persons with disabilities. Her considerable experience in cross-sectoral collaboration, particularly in evaluating social policies, forms the basis for initiating interdisciplinary AI projects aimed at addressing the real-world social problems faced by individuals at risk of exclusion. She is particularly interested in how AI-based tools can support groups vulnerable to discrimination and exclusion in accessing equal rights and inclusive social services.
Prof. Paweł Kubicki, PhD – Is the Head of the Department of Social Policy and has been engaged in social projects and public policy analysis for over two decades. Within the AI Lab at SGH, he has recently also been working on the application of artificial intelligence in public administration. In collaboration with the Failure Lab at the University of Warsaw, he researches the topic of failure. He is particularly interested in the factors and turning points in the implementation of public programmes that could influence the successful deployment of artificial intelligence or lead to implementation failures.
Paulina Legutko-Kobus, PhD – Is the Head of the Department of Regional and Local Policy. In her research and expert work, she concentrates on issues related to strategic planning and development programming at the regional and local levels, smart cities, monitoring development processes, and public participation. In the context of AI, she is interested in the opportunities and challenges associated with the application of artificial intelligence tools in local government work. This includes process automation, tailoring communication and participation to the expectations of various stakeholder groups, and its use for socio-economic and spatial analyses in the context of development policy formation.
Zofia Szweda-Lewandowska, PhD – In her research, she focuses on the socio-economic consequences of population ageing, with a particular emphasis on the application of digital innovations and artificial intelligence in response to demographic challenges. She analyses how AI-based tools can support the creation of smart and age-friendly environments and be used to diagnose social risk among older adults. Her interdisciplinary approach, which combines economic, sociological, and legal perspectives, allows for a comprehensive analysis of technology’s potential in shaping modern social policy and the development of the silver economy.
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