Course description

AI and Data Ethics (Planned spring 2021)

Introduction

Complete course description will be ready summer 2020.

In this course, we will explore the foundational issues that comprises current developments in artificial intelligence, primarily form an ethics, privacy and business and society perspective. Based on a solid understanding of the capabilities and limitations of various approaches to artificial intelligence, we will conceptualize scenarios for business and society, and deliberate on the possible economic and ethical outcomes of these.

Course content

  • How Algorithms Work
  • Representations and Symbolic Approaches to Artificial Intelligence
  • Deep Learning
  • The Value of Data and its Inherent Biases
  • The Economic impact of Artificial Intelligence and Data
  • Autonomy and Agency of Artificial Intelligence
  • Transparency and Accountability
  • Privacy Concepts
  • Ownership and Access
  • Key Legislations particularly surrounding data handling.

Learning outcome knowledge

During course studens shall learn:

  • What are Data, AI and Algorithms capable of – and where are their (current) limitations?
  • What are ethical implications of Data, AI and Algorithms as either tools or agents in modern work and living environments?
  • Which trajectory will Data Collection and Usage, AI and Algorithmic development take? Which are the best-case and which are the worst-case scenarios?
  • How can we ethically manage Data, AI and Algorithms in the context of business analytics? How may these challenges be managed in light of key legislations such as the GDRP?