ETHICS FOR ARTIFICIAL INTELLIGENCE

ETHICS FOR ARTIFICIAL INTELLIGENCE

Massimo Chiriatti, Paolo Benanti

Instructional goals

Our society’s economics, ethics, politics, and law—in short, our way of life—is being significantly and rapidly transformed as Artificial Intelligence (AI) systems are embedded in more and more facets of our lives. The course focuses on the ethical issues involved in the latest developments of AI, and in particular on the algorithmic judgment at its core, which as of today is developing at an impressive speed.

Intended learning outcomes

The course will give students the opportunity to develop their ability to approach ethical issues in today’s data-driven society. A focus on different practical cases will provide students with the necessary skills to apply knowledge and understanding to specific scenarios.

Course Contents

This course will explore the ethical issues related to digital technologies, in particular AI and algorithms. In addition, the course will cover a range of current issues and topics through the application of important moral theories, exploring how digital technologies often challenge what we know about ethics, politics and law.

Reference Books

The course will be based on collection of top scientific articles and book excerpts. Articles and other materials (cases) will be available through the Luiss Learn platform.

Teaching Methods

The course will be based on lectures and classes organized around different lecture topics. Classes will entail additional material and cases that will illustrate the key ideas presented on each lecture. Students will be encouraged to actively participate in the lectures through questions, practical and theoretical elaborations.

Assessment Method

Assessment will consist of a written assignment. In the written assignment students are required to demonstrate that they are able to: · Understand the foundations of ethics broadly · Understand the foundations of modern and ancient approaches to ethics and their main differences. · Have familiarity with the problems of ethics and some of the possible solutions specifically related to algorithms and AI · Apply their ethical understanding to analyze cases involving algorithms, AI, social media and data.

Thesis assignment criteria

The overall assessment will take into account the level of knowledge and understanding of the ethical issues in digital technologies; the students’ capacity for thinking creatively, innovatively, and critically; and their capacity to present effectively findings and conclusions.

Week 1

In this segment we get a deep dive into the main ethical issues of AI.

Week 2

In this segment we get a deep dive into Ethics of information.

Week 3

In this segment we get a deep dive into "Artificial Unconsciousness" and we'll start practical activities.

Week 4

Bias in criminal justice

Week 5

Moral machine

Week 6

Chinese room

Week 7

Media ethics

Week 8

Assessing ethical risks

Week 9

Code of conduct

Week 10

AI and future of work

Week 11

Neuroethics

Week 12

Decision making with AI