Last week, World Economic Forum released a paper on how to prevent discrimination of humans in machine learning? In which it provides a framework for developers to understand the potential risks associated with machine learning applications and how to combat marginalisation and discrimination of humans in AI and encourage dignity assurance. And focus on how companies designing and implementing machine learning technology can maximize its potential benefits. It also offers a set of transferable, guiding principles for the field of machine learning.
Tech giants like Google, Microsoft and Deepmind (Alphabet) have begun to explore the ideas of fairness, inclusion, accountability and transparency in machine learning. However, with AI continuing to influence more people in employment, education, healthcare etc and mostly in the absence of adequate government regulation – whether due to technology outpacing regulatory mechanisms, lack of government capacity, political turmoil – there is a need to more active self-governance by private companies, highlights the WEF paper.
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