Part 6/10:
Data Quality and Trustworthiness: The quality of AI advice depends heavily on the sources it is trained on. For example, an AI that scrapes Reddit for answers might recommend untrustworthy or harmful solutions, like using glue to keep cheese on a pizza.
Regulatory and Compliance Issues: Financial trading involves strict regulations, and ensuring AI tools comply with licensing and certification standards is vital.
Scams and Fraud: The surge in AI use has also led to a rise in scams—over 456% increase in AI-related fraud reported last year—as malicious actors leverage AI to deceive investors.