Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study, Virtual Classroom | Video and Text Based |
In an era of big data and social media, we have huge amounts of datasets at our disposal. Hence, it is necessary to address the loopholes that may be present in Artificial Intelligence technologies. The Bias and Discrimination in AI certification courses are designed to investigate the technical and social dimensions of fairness and bias in algorithm design and machine learning.
The inequalities related to socio-economic status, skin colour, and gender that are deeply rooted in our society have already made their way into the Artificial Intelligence systems utilised for decision making. The Bias and Discrimination in AI course by edX will explore the impacts of such biases and raise awareness about the same. The four-week programme is curated by the University of Montreal, a leading French-language institute based in Canada.
The growing usage of AI across all sectors raises considerable social justice and ethical concerns. Therefore, Bias and Discrimination in AI online courses will make you informed about how AI discrimination can have drastic effects on our daily lives. Students must have a fundamental understanding of machine learning to pursue the MOOC. The candidates will be proceeding to the course in a self
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 15859 | yes | University of Montreal, Montreal |
The Bias and Discrimination in AI certification fees are as follows:
Course option | Fee in INR |
Bias and Discrimination in AI (Audit only) | FREE |
Bias and Discrimination in AI (with certificate) | Rs. 15,859 |
To grasp the topics of the Bias and Discrimination in AI MOOC most effectively, you must have a foundational understanding of machine learning.
After the completion of the Bias and Discrimination in AI training course, you will be competently able to:
The Bias and Discrimination in AI courses on edX are mainly developed for students and professionals in the AI sector. Also, for the academics who have a foundational understanding of programming and mathematics. Nonetheless, the course will provide value to anyone interested in Artificial Intelligence.
Go through the simple steps given below to enrol in the Bias and Discrimination in AI certification course.
Step 1: Click on the link => https://www.edx.org/course/bias-and-discrimination-in-ai. You will reach the official MOOC page of Bias and Discrimination in AI certification course on the edX website.
Step 2: You can read the course description on the page. Then, locate and tap the ‘Enroll’ button at the top.
Step 3: You will now be redirected to the registration page. Create a new account by submitting the required details or link an existing Microsoft, Google, Apple or Facebook page for logging in.
Step 4: A dashboard page will appear with a ‘Congratulations’ message on it. You should now be enrolled in the Bias and Discrimination in AI online course.
Getting admission in the Bias and Discrimination in AI certification by edX does not require filling up any application form on your part. Registration with edX is enough to gain access to this MOOC.
Fairness criteria and metrics
Public policy and Health
The Université de Montréal (University of Montreal) of Canada accredits this course. It is developed with support from IVADO, a Canadian institute in the field of digital intelligence.
There are numerous expert instructors for this course. The primary three are Golnoosh Farnadi, Researcher and Fellow at IVADO and Emre Kiciman, Senior Principal Researcher at Microsoft Research AI, and Rachel Thomas who is the Director at University of San Francisco, Centre for Applied Data Ethics. Various other speakers will teach distinctive topics throughout the course duration.
The certificate is verification for your accomplishment. It will be signed by instructors along with the logo of the institution. It can be shared to your LinkedIn or resume to increase career prospects.
The course is an intermediate-level programme. Only a basic understanding of AI and machine learning concepts is necessary to study.