Navigating the Limitations of AI in Data Security and Ethics

Exploring concerns around data leakage, security, ethics, transparency, and bias in AI systems, this chapter emphasizes the need for firms to create secure, proprietary models to safeguard client data. It discusses challenges like relying on AI as black boxes for answers, stresses the importance of proper integration, human involvement in training models, and continuous testing. The conversation also touches on the ethical considerations in using AI for tax and audit purposes, discussing maintaining client confidentiality, data security techniques, and the potential integration of AI into the IRS's processes.