Reducing Unfair Bias in Machine Learning

Course Description:

To put your trust in artificial intelligence, you should first learn everything about it to get how it works! Now you have this opportunity with the help of IBM professional researchers who “developed opensource toolkits to build Trustworthy AI by making AI more fair, transparent, explainable, private, and robust.” IBM. With the increasing importance and dependence on artificial intelligence in our modern century, it is of great help to learn how to reduce bias and discrimination in machine learning models and build fairness instead which this course provides. Learn anywhere online at your own pace by IBM professional staff members. The course is offered in English. To make it easier for you in your study plan, the course is divided into 3 modules provided with a summary and a quiz at the end of each module. Unleash your curiosity and begin right away!

What You Will Learn:

• The importance of building a Trustworthy AI.
• Understanding AI bias and fairness concepts.
• When the focus on fairness concept is required in some situations.
• How to detect machine biases.
• How to build trust and reduce biases in AI through applying the concept of fairness using different tools and techniques such as “AI Fairness 360”.
• You will also be provided with an interactive demo of “AI Fairness 360” opensource to walk you through it, how it works, and how to apply it on a real case.
• The course includes hands-on labs.

Course Benefits:

• You can learn anywhere online at your own pace.
• You have the chance to. get your knowledge from IBM professional staff members.
• The course is offered in English.
• You won’t blink an eye! To make it more interesting and informative, the course is a combination between recorded videos, tutorials, research papers, interactive demos., hands-on labs, and additional resources.
• To make your study plan easier and more organized, the course is divided into 3 modules provided with a summary and a quiz at the end of each module.
• You can ask questions and share your knowledge with others through the IBM community.

Eligibility:

To get the most out of this course, you should have a basic understanding of data science, machine learning, and Python.

Demand and Estimated Salaries in the Labor Market:

From a recent analysis by Alekseeva et al. 2019, 2020, it has been found that AI has become very common in the “overall economy and across all industry sectors and occupation groups in the US”. It has also appeared that the demand for AI skills has been rising rapidly according to the posted job vacancies. In addition, according to recent research by (Felten et al. 2019, Webb 2019), AI technology has had a great effect, especially on jobs that require high skills. Regarding the salaries, and according to Alekseeva et al. (2019), you will gain a higher salary by around 11% if you acquire AI skills compared to other jobs requiring other skills than the AI.

Finally, want to get access to the course? Just fill in the form below for FREE!

An e-mail will be sent to you with the course’s link to register.

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