Details for the Course Syllabus for Course EDA070F valid from Autumn 2020

General

Teaching language:
English
Given:
If sufficient demand
Application:
Apply through e-mail
Course web page:
https://wasp-sweden.org/graduate-school/ai-graduate-school-courses/

Aim

The course aims to give insight into the following three main topics relevant to researchers in technical areas, in particular AI: Responsible Design of Intelligent Systems: understand Responsible AI as part of complex socio-technical systems, Ethical Machines and Human-Agent Interaction.

Contents

The content of the course include: ethics in practice – ethical issues in different applications, ethics by design – computational reasoning models for ethical deliberation, explainable AI – mathematical principles and computational approaches, and analysis and modelling of interaction constraints and norms.

Knowledge and Understanding

For a passing grade the doctoral student must
- know the terms, concepts and expressions used in the presented material,
- be able to understand and explain the presented concepts,
- be able to use the presented concepts to analyse a given problem with them

Competences and Skills

For a passing grade the doctoral student must
- be able to reason about given questions with the tools presented in the course, at least to a certain level of complexity
- decide upon the applicability of a certain tool in a given context outside the scope of the course
- transfer the learned concepts and tools to problems outside the scope of the course where applicable

Judgement and Approach

For a passing grade the doctoral student must
- be able to judge a (research related) question with the concepts and analytic / argumentative tools discussed in the context of the course

Types of Instruction

Lectures
Miscellaneous
Comments:
The course is given in a two-day block format with varying session formats (lectures, discussion groups,...)

Examination Formats

Admission Requirements

Assumed Prior Knowledge

Specific assumed prior knowledge is communicated through the course website, which is available well in advance. Generally the course requires at least some background in Computer Science, Mathematics, Engineering Physics, Electrical Engineering or a closely related topic.

Selection Criteria

Literature

Further Information

Contact the course responsible person / Department representative for information about course instances. The course is given as part of the WASP graduate school and has specific admission rules.

Course code

Administrative Information

All Published Course Occasions for the Course Syllabus

1 course occasion.

Start Date	End Date	Published
2020‑09‑01 (approximate)	2020‑12‑15	2020‑12‑15