Discover how even computer algorithms may be biased and have a serious impact on our everyday lives. In this ,various international experts in the field, you will learn how to identify and alleviate bias and discrimination in Artificial Intelligence.
Engage in pertaining to a highly impactful yet, too rarely discussed, AI-related topic. You will learn from international experts in the field on Bias and Discrimination in AI, which took place in Montreal, and explore the social and technical aspects of bias, discrimination and fairness in machine learning and algorithm design.
The main focus of this is: gender, race and socioeconomic-based bias as well as bias in data-driven predictive models leading to decisions. The course is primarily intended for professionals and academics with basic knowledge in mathematics and programming, but the rich content will be of great use to whomever uses, or is interested in, AI in any other way. These sociotechnical topics have proven to be great eye-openers for technical professionals!
What you'll learn
1.Understanding bias and discrimination in all its aspects
2.Exploring the harmful effects of bias in machine learning (discriminatory effects of algorithmic decision-making)
3.Identifying the sources of bias and discrimination in machine learning
4.Mitigating bias in machine learning (strategies for addressing bias)
5.Recommendations to guide the ethical development and evaluation of algorithms