Publicação
AI, uses and abuses: Mapping and monitoring benefits and risks of Artificial Intelligence in FinTech
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Damásio, Bruno Miguel Pinto | |
| dc.contributor.author | Duarte, Guilherme Silva | |
| dc.date.accessioned | 2025-07-02T11:00:38Z | |
| dc.date.available | 2025-07-02T11:00:38Z | |
| dc.date.issued | 2025-06-27 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management | pt_PT |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203968891 | |
| dc.identifier.uri | http://hdl.handle.net/10362/184724 | |
| dc.language.iso | por | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Artificial Intelligence | pt_PT |
| dc.subject | FinTech | pt_PT |
| dc.subject | Ethical Framework | pt_PT |
| dc.subject | Machine Learning | pt_PT |
| dc.subject | Data Privacy | pt_PT |
| dc.subject | Algorithmic Bias | pt_PT |
| dc.subject | SDG 8 - Decent work and economic growth | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.subject | SDG 16 - Peace, justice and strong institutions | pt_PT |
| dc.title | AI, uses and abuses: Mapping and monitoring benefits and risks of Artificial Intelligence in FinTech | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Estatística e Gestão de Informação, especialização em Análise e Gestão de Risco | pt_PT |