During this session, the panelists discussed AI in finance technology, data privacy and security, interpretability of algorithms and the need for a strong relationship with regulators.
Some of the key takeaways from the session are:
- For AI to deliver value in FinTech, interpretability and explainability are important, you need to be able to prove where your model comes from and have strong documentation.
- You need to make sure the right controls and processes are in place to ensure data privacy and security.
- Developing a strong relationship with regulatory agencies is key to make sure your model is unbiased and explainable and be able to influence regulators into adopting better, more complicated models.
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