ML Fairness
From HandWiki
ML Fairness, short for Machine Learning Fairness, is an initiative by Google to implement fairness as a part of their machine learning techniques.[1][2][3][4] The campaign is presented as a means to stop political bias in artificial intelligence.[5]
References
- ↑ "Google Machine Learning Crash Course adds lesson on ensuring AI fairness". 18 October 2018. https://9to5google.com/2018/10/18/google-machine-learning-crash-course-ai-fairness/.
- ↑ "Machine Learning Fairness". https://developers.google.com/machine-learning/fairness-overview/.
- ↑ "Fairness Machine Learning". http://www.cs.toronto.edu/~madras/presentations/fairness-ml-uaig.pdf.
- ↑ "Fairness in Machine Learning". 10 January 2019. https://2021.ai/fairness-in-machine-learning/.
- ↑ "Google's New Machine Learning Curriculum Aims to Stop Bias Cold". 24 October 2018. https://insights.dice.com/2018/10/24/google-machine-learning-course-bias/.
 |
