Overview
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. The Ethics in the Age of AI Specialization offered by Coursera in partnership with LearnQuest will finish with a study of 3 projects that will allow you to put your new skills into action.
Applied Learning Project
- AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations.
Programme Structure
Courses include:
- Artificial Intelligence Algorithms Models and Limitations
- Artificial Intelligence Data Fairness and Bias
- Artificial Intelligence Privacy and Convenience
- Artificial Intelligence Ethics in Action
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Artificial Intelligence Machine Learning Ethics View 7 other Short Courses in Ethics in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- We start at the beginning, so no prior experience is necessary.
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
Audit: free access to course materials except graded items|Certificate: a trusted way to showcase your skills|A year of unlimited access with Coursera Plus $199
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.