Objectives On completion of this tutorial, you will be able to:

• Identify how ethics differs to laws and why we need ethics
• Recognize the approaches to practicing ethical behavior
• Recognize the differences between narrow and general AI, the different approaches to symbolic and neural networks, and the prevalence of AI

Tutorial Overview Developments in data analysis and machine learning have led to a dramatic increase in the use of artificial intelligence by both private and public institutions. AI is involved in many industries and activities - banking and finance, industrial manufacturing, agriculture, marketing, social media, urban planning, healthcare, policing, and more. Unfortunately, these technologies have sometimes been introduced without the necessary ethical considerations, which has led to unnecessary scandals and harm to individuals. One of the most important challenges the AI community faces is to develop algorithms that can contribute to individual and social wellbeing. This tutorial provides a high-level overview of ethics, and in particular, AI ethics. Prerequisite Knowledge AI & Machine Learning (ML) - Primer Tutorial Level: Introductory Tutorial Duration: 45 minutes