ETHICAL AI IN BANKING: BALANCING INNOVATION WITH RESPONSIBILITY
The integration of Artificial Intelligence (AI) in banking promises enhanced efficiency, personalized services, and innovative solutions. However, the deployment of AI in this sector is fraught with ethical challenges, including bias, transparency, accountability, and data privacy concerns. This paper explores the pitfalls associated with implementing AI-based solutions in banking and proposes strategies for integrating ethical considerations to mitigate these challenges. Through examining real-world case studies and existing frameworks, we provide recommendations for banking institutions to adopt Ethical AI, ensuring trustworthiness, compliance, and societal benefit.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-02
- DOI
- https://doi.org/10.5281/zenodo.13627525
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00