Pejenaute Lahoz, María2024-08-282024-08-282024https://academica-e.unavarra.es/handle/2454/51469This project explores how Artificial Intelligence operates in the business sector, focusing particularly on the financial markets. It examines how AI technologies, such as Machine Learning and Big Data Analytics, are redefining the landscape of financial services by enhancing efficiency, decision making processes, and overall market dynamics. The study examines AI’s dual impact: its potential to drive economic growth and innovation, and the associated challenges and risks, like privacy concerns, market manipulation, and ethical dilemmas. The research highlights the evolving regulatory framework, emphasizing the recent EU regulations, notably the 2024 AI Act, which aims to balance innovation with consumer protection and ethical standards. This legislation could serve as a global model for AI governance. Additionally, the study explores AI’s impact on market competition, including collusion risks and potential algorithmic monopolies. Through comprehensive analysis, it advocates for a proactive regulatory approach that anticipates future developments, ensuring that AI’s integration into financial markets is both beneficial and ethically responsible, aligning technological progress with the protection of fundamental human rights and market integrity.52 p.application/pdfengArtificial IntelligenceRegulatory frameworksFinancial marketsMachine learningMarket manipulationAlgorithmic tradingCollusioninfo:eu-repo/semantics/bachelorThesis2024-08-26info:eu-repo/semantics/openAccess