Ethics in AI: Building a Fair and Responsible AI

Tosin Joseph Amuda


AI is being adopted for high stakes decisions, susceptible to cognitive bias like loan decision, admission decision, hiring decision.

It is important that AI engineers and designers avoid introducing bias into our AI models to ensure that AI decision are fair, trusted and responsible.

In this session, you will learn about explainable & trusted AI, how to implement that using open-source toolkits.


Photo of Tosin Joseph Amuda

Developer Event and Marketing Specialist at the IBM Innovation Client Center

Requested 4 times

Lecture languages



AI AlgorithmAI ApplicationEthics

Duration options

1 hour

Travel/delivery options

In-countryNo travel required: On DemandOutside of country: Open for discussionRemote via video conference



Lecture booking request

Thank you for your interest in hosting an IBM speaker. Please fill out the following form with as much detail as possible. An IBM representative will reach out to discuss your booking request. All guest lectures are subject to availability and agreements under this collaboration are not legally binding.