Predictive Modellingdata biasAlgorithmsEthics Of Artificial IntelligenceMachine Learning (ML) AlgorithmsUnderstanding of algorithmsFamiliarity with predictive modelsOverview of ethics considersationsmachine learning fairnessEthicsMachine Learningsecurity
Ethics in the Age of AI Specialization
What's the ethical impact of AI making decisions?. Learn how to impose ethical behavior on machine models.
Offered By
Ethics in the Age of AI SpecializationLearnQuestWhat you will learn
Define predictive models and analyze how companies use them
Identify how learning algorithms are used in everyday life
Examine the ability of algorithms to influence and decide human behavior in biased ways, and methods to avoid predictive bias
Identify vulnerabilities in public data sets and analyze algorithmic privacy violations
Skills you will gain
About this Specialization
1,629 recent views
As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations. In this specialization, we will explore the rise of algorithms, fundamental issues of fairness and bias in machine learning, and basic concepts involved in security and privacy of machine learning projects. We'll 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.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
We start at the beginning, so no prior experience is necessary.
Approx. 4 months to complete
Suggested 2 hours/week
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
We start at the beginning, so no prior experience is necessary.
Approx. 4 months to complete
Suggested 2 hours/week
English
Subtitles: English
There are 4 Courses in this Specialization
Artificial Intelligence Algorithms Models and Limitations
7 ratings
We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
Artificial Intelligence Data Fairness and Bias
12 ratings
In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.
Artificial Intelligence Privacy and Convenience
In this course, we will explore fundamental concepts involved in security and privacy of machine learning projects. Diving into the ethics behind these decisions, we will explore how to protect users from privacy violations while creating useful predictive models. We will also ask big questions about how businesses implement algorithms and how that affects user privacy and transparency now and in the future.
Artificial Intelligence Ethics in Action
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. These projects include all the skills you've learned in this AI Ethics Specialization.
Offered by
LearnQuest
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
Frequently Asked Questions
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, 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. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
If you follow the course schedule and spend 2-3 hours per week, you will complete the specialization in 13 weeks.
What background knowledge is necessary?
There is no specific background required to take this specialization.
Do I need to take the courses in a specific order?
We recommend that you take the courses in order beacuse the concepts build throughout the specialization.
Will I earn university credit for completing the Specialization?
This specialization does not provide university credit.
What will I be able to do upon completing the Specialization?
Upon completing the specialization, you should be able to better understand how machine learning models work, and if desired, obtain an entry-level data analysis / machine learning position.
More questions? Visit the Learner Help Center.
