BROADCASTS.com

b'

In 2018 Amazon\\xa0 terminated its trial artificial intelligence (AI) recruiting tool after discovering it discriminated against women. This tool was created to trawl the web and spot potential candidates, rating them from one to five stars. But the algorithm learned to systematically downgrade women\\u2019s CV\\u2019s for technical jobs such as software developer.

Although Amazon is at the forefront of AI technology, the company couldn\\u2019t find a way to make its algorithm gender-neutral. Its\\xa0 failure reminds us that AI develops bias from a variety of sources. There's a misconception that algorithms are supposed to be built without any of the bias or prejudices that influence human decision making, but the truth is that an algorithm can unintentionally learn bias from a variety of different sources. Everything from the data used to train it, to the people who are using it, and even seemingly unrelated factors, can all contribute to AI bias.

On today's episode we have renowned thought leader and Chief Data Scientist for IBM Dr Eva Marie Muller-Stuler who's here to shed some light on just how sexist AI is?\\xa0

Dr Muller-Stuler is a trusted advisor to both governments and international bodies (e.g. the UN) on the risk of AI and its impact on society. She collaborates with international organisations on developing a worldwide AI ethics framework.