Artificial intelligence and machine learning are key to business transformation across every industry. However, as our reliance on these systems increases, so too does the need for governance in the sector to ensure ethical and fair results.

Algorithmic biases in machine learning stem from the human unconscious biases that trickle into the organisations, the data and the models themselves. The impact of these biases on ML technologies are concerning for users and for broader society, as prejudice is replicated at scale. 

In today’s minicast, we speak to Rob Sibo, Data and Analytics Senior Director at technology consulting firm Slalom Australia, about the consequences of unconscious bias and the impact of unethical AI. 


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