Transport and Covid-19: responses and resources

Addressing the Gender Bias in Artificial Intelligence Data

ITF Meeting ITF Meeting

Young Tae Kim, Secretary-General of the International Transport Forum, provides opening remarks. 

Register here 14:00-15:00 CEST 
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This is a joint event with the International Transport Forum and the Science Technology and Innovation Division at the OECD. 

Data is the lifeblood of the digital economy, and is a critical input to technologies like artificial intelligence (AI). Without data, there would be no AI. So it goes without saying that the quality and volume of data used in AI is of the utmost importance. If and when data used in AI are biased – by omission or by choice – then the resulting algorithms can lead to biased outcomes. In the case of gender bias, biased AI systems risk perpetuating and exacerbating gender-based inequalities that exist in our physical world, but AI can also be used to help identify and correct for human bias in society. This event brings together experts to explore the gender bias in AI data. 

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