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AI, uses and abuses: Mapping and monitoring benefits and risks of Artificial Intelligence in FinTech
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| 1.46 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
The study investigates the benefits and risks associated with the adoption of Artificial
Intelligence (AI) in the FinTech industry. Over the last decade, AI has emerged as a
transformative force, enabling enhanced operational efficiencies, personalized services,
fraud detection, and innovative financial product development. However, the adoption
of AI also raises critical challenges, such as ethical concerns, algorithmic bias, data
privacy invasions, and workplace disruptions fuelled by organizational resistance to
change. This research aims to identify the key factors influencing AI adoption in the
FinTech sector using statistical regression models and machine learning algorithms.
Leveraging data from leading global FinTech firms, the study provides actionable insights
and recommendations for responsibly and effectively integrating AI, maximizing
benefits while mitigating associated risks. The findings emphasize the importance of
ethical frameworks and employee engagement in facilitating the sustainable
transformation of AI in financial services. In alignment with the United Nations
Sustainable Development Goal 8 (Decent Work and Economic Growth), Goal 9 (Industry,
Innovation and Infrastructure), and Goal 16 (Peace, Justice and Strong Institutions), the
study highlights the role of innovation in fostering inclusive and sustainable economic
growth while ensuring ethical governance in financial services.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
Palavras-chave
Artificial Intelligence FinTech Ethical Framework Machine Learning Data Privacy Algorithmic Bias SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 16 - Peace, justice and strong institutions