• Skills4Good Responsible AI Program
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    Talent for Purpose
    Towards AI for Good

    Responsible AI Program

    Responsible AI Program

Upskill Employees with Ethical AI Skills

82% of executives believe that digital savviness is a nonnegotiable leadership skill required for the future. Unfortunately, many organizations face a steep AI learning curve.

Source: Pring et al, The New Leadership Playbook for the Digital Age. MIT Sloan Management Review

Skills4Good Responsible AI Program

We help organizations navigate the complex AI ecosystem by upskilling employees to become digitally literate and develop an ethical mindset. We designed this program so your employees better understand how Responsible AI protects privacy and human rights, minimizes corporate risks while maximizing innovation.

Our Responsible AI Program includes 3 highly engaging courses delivered by thought leaders in the AI industry. The courses employ a pragmatic approach woven with case studies and real-life examples to illustrate the foundational concepts of AI tech, ethics and law in a highly compelling manner.

The 3 Courses of the Skills4Good Responsible AI Program

Course 1:
Intro to AI & Machine Learning

Learn the key concepts in Artificial Intelligence and Machine Learning.

Graham Taylor, AI & Machine Learning

Instructor:
Prof. Graham Taylor, PhD, P.Eng.

  • Canada CIFAR AI Chair
  • Co-Director, Centre for Advancing Responsible and Ethical AI (CARE-AI)
  • Member, Vector Institute for AI
  • Engineering Professor, University of Guelph
  • Canada's Top 40 Under 40

Course 2:
Intro to AI Ethics

Understand the fundamental principles in AI ethics relating to bias, discrimination & fairness.

Joshua Skorburg, AI Ethics

Instructor:
Prof. Joshua Skorburg, PhD

  • Philosophy Professor, University of Guelph
  • Co-Director, Centre for Advancing Responsible and Ethical AI (CARE-AI)
  • Faculty Affiliate, One Health Institute
  • Professor, Fuqua School of Business, Duke University
  • PhD in Philosophy, University of Oregon

Course 3:
Intro to AI & Human Rights

Learn how AI impacts human rights as it relates to algorithmic accountability.

Josephine Yam, AI & Human Rights

Instructor:
Josephine Yam, JD, LLM, MA Phil (AI Ethics)

  • Lawyer, CEO & Co-Founder, Skills4Good
  • Stanford Business School, Executive Leadership Program
  • University of Calgary, Masters in Law
  • University of Guelph, MA Philosophy (AI Ethics)
  • RBC Top 25 Canadian Immigrant Awardee

33 Video lessons in HD
Approximately 3.5 hours of video content
180 days easy access, anywhere, anytime
Streaming access on desktop and mobile browsers
100% satisfaction guarantee

Benefits of the Skills4Good Responsible AI Program

Practical

Practical

You’ll gain a pragmatic understanding of the foundational concepts of Responsible AI. The program employs actual use cases and real-life examples in a highly engaging manner.

Great value

Great value

You’ll acquire a rich, multi-disciplinary perspective of Responsible AI’s various facets from top AI instructors. Learn how AI uniquely impacts society from the viewpoints of technology, philosophy, ethics and law.

Convenient

Convenient

You’ll have easy access to the program whether you’re on a desktop, tablet or smartphone. You can easily fit each micro-learning program module into your busy schedule.

Course 1 of 3 - Introduction to AI & Machine Learning

In this course, we will demystify Artificial Intelligence and Machine Learning through the lens of building and deploying AI systems responsibly. We will start by understanding what AI really is and then discuss what responsibility means in the AI context.

Course Outline

  • Module 1: Introduction to Artificial Intelligence
  • Module 2: What is Machine Learning?
  • Module 3: Components of Machine Learning System
  • Module 4: Traditional Software vs Machine Learning
  • Module 5: Machine Learning Tasks
  • Module 6: The Machine Learning Experience
  • Module 7: Training, Optimization and Generalization
  • Module 8: Underfitting, Overfitting and Regularization
  • Module 9: Self-regulation and Machine Learning as a Dual-use Technology
  • Module 10: Recap of AI Course & Explainable AI
  • Final Quiz

Graham Taylor, AI & Machine Learning

Instructor:
Prof. Graham Taylor, PhD, P.Eng.

  • Canada CIFAR AI Chair
  • Associate Professor of Engineering, University of Guelph
  • Academic Co-director of University of Guelph Centre for Advancing Responsible and Ethical AI (CARE-AI)
  • Member of the Vector Institute for AI
  • Co-organizer of the annual CIFAR Deep Learning Summer School
  • Instructor to more than 70 students and researchers on AI-related projects.
  • One of 18 inaugural CIFAR Azrieli Global Scholars
  • One of Canada's Top 40 under 40
  • Visiting Faculty member at Google Brain
  • Co-founder of Kindred, which was featured at number 29 on MIT Technology Review's 2017 list of smartest companies in the world
  • Academic Director of NextAI, a non-profit accelerator for AI-focused entrepreneurs

Course 2 of 3 - Introduction to AI Ethics

In this course, you're going to develop the tools for thinking critically and carefully about how to balance the promises and perils of AI and machine learning in business. From finance and marketing to HR auditing strategy, fraud, investigation and risk management.

Course Outline

  • Module 1: Key Concepts in AI Ethics, Part 1
  • Module 2: Key Concepts in AI Ethics, Part 2
  • Module 3: Privacy & Human Rights, Part 1
  • Module 4: Privacy & Human Rights, Part 2
  • Module 5: Fairness, Bias & Discrimination, Part 1
  • Module 6: Fairness, Bias & Discrimination, Part 2
  • Module 7: AI Opacity & Right to Explanation, Part 1
  • Module 8: AI Opacity & Right to Explanation, Part 2
  • Module 9: AI Accountability & Algorithmic Impact Assessments
  • Module 10: Recap of AI Ethics Course
  • Final Quiz

Joshua Skorburg, AI Ethics

Instructor:
Prof. Joshua Skorburg, PhD

  • Assistant Professor of Philosophy, University of Guelph
  • Academic Co-Director of University of Guelph Centre for Advancing Responsible and Ethical AI (CARE-AI)
  • Faculty Affiliate at the One Health Institute, University of Guelph
  • Professor, Fuqua School of Business, Duke University
  • PhD in Philosophy, University of Oregon

Course 3 of 3 - Introduction to AI & Human Rights

In this course, we’ll discuss why the human rights legal framework is crucial for achieving Responsible AI and algorithmic accountability. We’ll also explore the inherent limitations of AI that cause risks to human rights.

Course Outline

  • Module 1: AI Impacts on Human Rights
  • Module 2: Intro to Human Rights
  • Module 3: Business and Human Rights
  • Module 4A - Human Rights vs Ethics, Part 1
  • Module 4B - Human Rights vs Ethics, Part 2
  • Module 5: Limitations of AI
  • Module 6: Use Case 1, AI in HR Recruitment
  • Module 7: Use Case 2, AI in Healthcare
  • Module 8: Use Case 3, AI in Financial Services
  • Module 9: Use Case 4, AI in Education
  • Module 10: Use Case 5, AI in Government
  • Module 11: Responsible AI & Algorithmic Impact Assessments
  • Module 12: Recap of AI & Human Rights
  • Final Quiz

Josephine Yam, AI & Human Rights

Instructor:
Josephine Yam, JD, LLM, MA Phil (AI Ethics)

  • CEO & Co-Founder of Skills4Good
  • AI Lawyer & AI Ethicist
  • Executive Leadership Program, Stanford University
  • Master of Laws (LLM) degree, University of Calgary
  • Master of Arts in Philosophy specializing in AI Ethics, University of Guelph
  • RBC Top 25 Canadian Immigrant Awardee
  • Most Influential Filipina Woman in the World Award, London, UK
  • Former lawyer with a global law firm practicing IT/IP law
  • Former Senior Legal Counsel with the government’s Justice Department
  • Former CEO of an environmental law charity
  • Equity, diversity and inclusion advocate
  • Personal website: josephinevyam.com

Frequently Asked Questions

Who is the Responsible AI Program designed for?

It was created for professionals who currently use big data and AI systems in their daily work, or will do so in the near future. The Program covers the technical, ethical, legal and societal impacts of AI development. This program provides a foundational understanding as to what constitutes Responsible AI including baseline awareness of risks and limitations associated with AI systems. It will enable individuals to operationalize ethical AI considerations in their daily work. This Program does not require an individual to have a computer science or technical background in order to take the courses.

Can I buy the courses individually?

Yes, you may buy an individual course if you wish to focus exclusively on a specific topic. However, we highly recommend that you purchase the 3 courses comprising the Responsible AI Program if you wish to acquire a rich, multi-disciplinary perspective of Responsible AI’s various facets. In this way, you will learn how AI uniquely impacts society from the viewpoints of technology, philosophy, ethics and law.

Is there a volume discount if I buy the courses for a group of employees?

Yes. Please complete our Responsible AI for Multiple Users Form through the button below and we’ll respond to you shortly.

When will I have access to the course?

Once you enrol in the course, you’ll have immediate access to the course.

How much time do I need?

The Responsible AI Program is comprised of 3 self-guided online courses that you can take at your own pace anytime and anywhere.

We designed the lessons in short segments so that you can take each program module in ten minutes or less. It will take about 3.5 hours to complete the Program. Each course will take about 1 to 1.5 hours to complete.

How long can I access the course?

You can access the course for 180 days from the date of your enrolment in the course. If you do not earn your course completion certificate within 180 days, your registration will expire and you will need to pay to re-enroll for the course.

What is the refund or cancellation policy?

You can request a full refund or cancellation up to 7 calendar days after confirmation of your paid enrolment, provided you have not started any lesson in the course or Program.

After 7 days, if you have already started a lesson, you will not be entitled to any refund or cancellation from Skills4Good.

What is your copyright policy?

You can review our copyright policy through this link: https://skills4good.com/copyright/

Do I receive a certificate of completion?

Yes. After you complete the course, you will automatically receive a Certificate of Completion for the course.

33 Video lessons in HD
Approximately 3.5 hours of video content
180 days easy access, anywhere, anytime
Streaming access on desktop and mobile browsers
100% satisfaction guarantee

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