Balancing Innovation and Responsibility: Ethical and Consumer-Oriented Artificial Intelligence in FinTech
Keywords:
artificial intelligence, data privacy, fintech ethics, algorithmic bias, digital governance, user trust, consumer protectionAbstract
Objectives: This paper looks at the role of artificial intelligence as a financial technology, focusing on ethical considerations and the need for consumer-centric approaches. Its aim is to explore how fairness, transparency, and accountability influence consumer trust and protection in digital financial services.
Previous work: Existing research highlights the increasing integration of artificial intelligence into financial services, with a focus on risks related to bias, lack of explainability, and data privacy. Studies on responsible machine learning and ethical frameworks in Fintech emphasize the importance of aligning technological innovation with regulatory principles and consumer protection. Existing research highlights efficiency gains and risks, such as algorithmic bias and data privacy issues has explored FinTech and cybersecurity. This work extends to ethical artificial intelligence and consumer protection.
Approach: The study uses a qualitative methodology based on literature review and comparative analysis of recent academic work, complemented by the author's experience, selected case studies from fintech applications such as credit score and fraud detection.
Results: The findings indicate that while artificial intelligence increases financial efficiency and inclusion, it also introduces ethical risks, including algorithmic bias and opacity. The implementation of explainable models and ethical governance frameworks significantly improves user trust and transparency of decisions.
Implications: The study provides insights to researchers and policymakers by highlighting the need for stricter regulatory standards and ethical guidelines to ensure responsible innovation in fintech ecosystems.
Value: This paper proposes an integrated framework for responsible artificial intelligence and contributes by integrating the ethical principles of artificial intelligence with a consumer-centric perspective, proposing a balanced framework between technological advancement and financial consumer protection.
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