Ethics in Artificial Intelligence | fmi*igf Speaker Series

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.

• Learn the fundamentals of AI ethics every organizational leader should consider when embracing AI
• Become aware of the risks associated with the negligence of ethics in AI.
• Walk away with a pragmatic framework that guides you towards an ethically sustainable AI solution.

Speakers

• Jen Dunham

  Principal Solution Specialist, Fraud & Security Intelligence Division

• May Massoud

  Advisor, Data Sciences