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Speaker Series: Addressing Algorithmic Bias with Marina Jirotka and Helena Webb

As machine learning techniques grow in prominence and importance, the challenge of algorithmic bias is becoming more urgent. Examples are everywhere - from the Canon digital cameras whose blink detection function was biased against Asian users, to Amazon Alexa and its inability to recognise certain accents. Algorithms are shaped by the biases of the people who create them and the data they are trained on, posing real dilemmas for their application in everyday life.

Prof Marina Jirotka and Dr Helena Webb, Director and Senior Researcher at the UnBias Project at Oxford's Department of Computer Science, join us to unpack the sources of algorithmic bias and the ways in which we can enhance algorithmic accountability.

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