- Now more than ever,
computer systems are making complex decisions about you.
You might have machine learning systems
that make decisions about your job applicants,
or computer algorithms that make decisions
about your customers.
But there are a lot of ethical challenges
around these decisions.
This course is designed for managers, directors,
and developers that work with organizational data.
It'll give you a framework for how to make decisions
about data ethics in a typical office meeting.
First, we'll talk about whether or not
your decisions need to be traceable.
Does your customer have a right to know
exactly how a decision was made?
Do you have an ethical responsibility
to tell someone why the system denied them a loan
or gave them a low rating?
Then we'll look at the balance
between objectivity and fairness
when you see bias in your data.
Should your organization change the data
to make it fair based on income, race, or gender?
It's a difficult balance between your business interests,
fairness, and transparency.
Algorithms can certainly help you make quick decisions.
The challenge is making sure
that these decisions reflect the best interest
of your customer and your organizational values.