Training > AI/Machine Learning > Ethics in AI and Data Science (LFS112)
Training Course

Ethics in AI and Data Science (LFS112)

Learn how to build and incorporate ethical principles and frameworks in your AI and Data Science technology and business initiatives to add transparency, build trust, drive adoption, and lead with responsibility.

Who Is It For
The course is designed for business, government and technology leaders and data scientists who are responsible for building and adopting AI tools.
read less read more
What You’ll Learn
In this course you will learn about business drivers for AI, the ethical challenges and impacts of AI and Data Science, the business and societal dynamics at work in an AI world, the key principles for building responsible AI, and more. This course introduces some of the principles and frameworks that puts ethics and responsibility into practice in the data analytics profession. And offers practical approaches to technical, business and leadership dilemmas and challenges posed by work in AI and Data Science.
read less read more
What It Prepares You For
You will walk away from this course with an understanding of how to add transparency, develop standards and share best practices to build trust and drive AI adoption.
read less read more
Course Outline
Welcome!
Chapter 1. The State of Ethics, Trust & Responsibility with AI and Data Science
Chapter 2. What do we mean by Artificial Intelligence and Data Science and Why It Matters
Chapter 3. Strategies (& Challenges) of Putting Ethics & Responsibility into Practice
Prerequisites
Reviews
Sep 2024
What I appreciated most in this course was the emphasis on numerous ethical issues, and negative implications that sometimes the inordinate and unconscious use of technology can generate on present and future societies, severely affecting especially younger generations.
Jul 2024
I liked the feeling at the end of the course, that we're not alone, but that we're a myriad of scattered people. All together we can succeed in promoting ethics in AI.
Jul 2024
Living in a Latin American country I continue to reflect on how to apply these principles, since due to the economic situation many values have been lost. I wanted to do this course to see how to explain the use of AI in an ethical way.
May 2024
I liked that it really helped me understand the difference between responsible AI and the responsible application of AI. I do feel like I am equipped to get started advocating for the ethical use of this in my organization.
May 2024
I really liked the language used in the lessons, it made the whole thing feel approachable and easy to understand, even if you are not as knowledgeable on this particular topic.
Apr 2024
I got a deep overview of the topics on AI ethics and data science that will help guide me toward further learning, and applying the principles learned here.
Mar 2024
Yes, I am a data scientist candidate, and I was very curious about data ethics. This course fulfilled many questions of mine, and provided me with a more structured point of view on the topic.
Mar 2024
It was very comprehensive, structured and easy to follow. I enjoyed the flow of the course.
Mar 2024
The holistic approach / view the course takes, without becoming a preaching platform.
Mar 2024
In this course I've learned more about ethics and Data science, and it was so understandable. This course was so special to me!
Feb 2024
The course included lots of examples and real-life cases.
Jan 2024
Understanding ethics, and the responsibility explanation of data life cycle.
Jan 2024
The course talks about a wide variety of things regarding AI and Data Science, and gives perspective on the field.
Includes
Online, Self Paced
2-3 Hours of Course Material
Discussion Forums
Unlimited Access to Online Course
Digital Badge
Course Rating
4.5/5 Stars
Experience Level: Beginner
Training more than 10 people?Get a corporate quote.