Addressing ethical challenges and regulatory gaps in deploying fully autonomous financial artificial intelligence agents

This research identifies ethical considerations and regulatory policies for deploying fully autonomous financial artificial intelligence agents within the financial services sector. Ethical considerations for human supervision are examined within the context of the use of AI within the financial sector. Specifically, does the autonomous and semi-autonomous use in the financial services sector of algorithms, machine learning processes, neuro-fuzzy systems, and deep learning present new ethical themes? It is followed by a consideration of regulatory uncertainty and regulatory gaps and how these will hinder the movement for some industry participants toward the use of fully autonomous AI agents. The paper then draws brief conclusions and indicates the necessity of further research in these areas.