Creating Trustworthy and Ethical Artificial Intelligence

Artificial intelligence is increasingly present in our daily lives. This new technology presents us with many opportunities and much to consider. Creating trustworthy and ethical artificial intelligence requires an understanding not only of the technology itself, but also the societal and ethical conditions present, and how to appropriately account for and assess their impact on the way AI is designed, built, and tested, and the way we interact with it.

This course explains the Ethics Guidelines for Trustworthy AI created by the European Union’s High-Level Expert Group on Artificial Intelligence, with insights from members of the group as well as experts from SAP. Each of them will share their own insights, examples, and areas of particular interest when it comes to artificial intelligence.

Our first section will cover the foundations of trustworthy AI, with an overview of both the challenges and the opportunities that AI presents us with. We’ll take a critical look at how to best balance these two sides of the equation, especially as AI is still an emerging technology when it comes to our current level of understanding.

Section 2 will explore the key concepts that are essential to having a holistic view of trustworthy and ethical AI, including several examples of AI in the real world and the points of conflict or opportunity that could arise.

Finally, in section 3, we’ll bring all these concepts together and provide actionable steps, both technical and non-technical, as well as examples of how you can take what you’ve learned with you after the course. As this course has been designed for anyone who works with or uses artificial intelligence, we’ve tried to focus on the central concepts key to understanding and thinking critically about AI ethics in a way that is very approachable. It is our goal to have something that is understandable and immediately usable for any leader, owner, developer, or user of artificial intelligence technologies.

 

Welcome and Introduction

Section 1: The Foundations of Trustworthy AI:

The Foundations of Trustworthy AI

Section 2: Key Concepts for Trustworthy AI:

Key Concepts for Trustworthy AI

Section 3: Making Trustworthy AI a Reality:

Making Trustworthy AI a Reality