Ethics Track – Session 1
Human-generated data carries inherent biases, which are transferred to the machines that learn using this data, and ultimately seep into the decisioning that follows- often creating a vicious cycle that reinforces this problematic pattern.
This session takes the philosophical question of ethics to the pragmatic realm and provides a business framework to address major ethical concerns in AI systems. It provides the foundation required to build and implement business AI that is ethical and future-proof.
Principal Solution Specialist, Fraud & Security Intelligence Division
Advisor, Data Sciences