View the slide and get to know the rules for AI in financial services and also how AI and ML should be applied to alert compliance officers to suspected market abuse. With such technologies now comes the responsibility and accountability to report if such practices are implicitly biased against certain populations. To know more visit: https://bit.ly/3Khcy01

1. AI in Financial Services –
What are the Rules?
https://www.shieldfc.com/
Your AI can no
longer remain a
black box.

2. Implicit Bias in Machine Learning
A Call for Governance
Let’s step back a moment for a quick
primer into how implicit bias has
apparently crept into financial risk
assessment models. First, machine
learning (ML) is an applied form of AI.
The term originated to describe the
practice of how the machine learns to
associate X with Y.
The wild, wild West analogy
here refers to a lack of self-
agency and policing which
leads to an “anything goes”
type of environment. Even
in an industry as tightly
regulated as financial
services,

3. https://www.shieldfc.com/
What’s Next?
The RFI will likely not probe deeply enough on
how financial firms are flagging transactions to
alert compliance officers to potential fraud and
money-laundering schemes. Nor will they likely
be able to elucidate how firms are analyzing
unstructured data to obtain insights alerting them
to suspected instances of market abuse.
The goal is a better understanding of and rules
governing how AI and ML should be applied to alert
compliance officers to suspected market abuse.