HUM-392 / 2 credits

Teacher: Rochel Johan Robert

Language: English


Summary

This course enables students to sharpen their proficiency in tackling ethical and legal challenges linked to Artificial Intelligence (AI). Students acquire the competence to define AI and identify ethical and legal questions linked to its increased use in society.

Content

Keywords

artificial intelligence, ethics, law, data, innovation, responsibility

 

Learning Outcomes

By the end of the course, the student must be able to:

  • Define the concept of AI
  • Assess / Evaluate the contexts in which AI is deployed
  • Systematize general principles (law and ethics)
  • Identify the broader justice issues raised by the wide deployment of AI
  • Assess / Evaluate the different senses/conceptions/interpretations of agency, autonomy and responsibility
  • Develop principles for the conception of AI system

Transversal skills

  • Demonstrate the capacity for critical thinking
  • Write a scientific or technical report.
  • Take account of the social and human dimensions of the engineering profession.
  • Respect relevant legal guidelines and ethical codes for the profession.

Teaching methods

The course will be organized as an interactive and participative course. Students have to read texts and to be ready for critical discussion.

Expected student activities

weekly reading of preparatory texts

active participation in class

writing of paper

 

Assessment methods

Students will be assessed twice :

-        Two-pagers summarizing the key elements of a preparatory text (40% of the grade)

-        Short essay on a freely chosen topic (3-4 pages)  (60% of the grade)

 

Supervision

Office hours No
Assistants No
Forum No
Others By appointment

In the programs

  • Semester: Fall
  • Number of places: 80
  • Exam form: During the semester (winter session)
  • Subject examined: The Ethics and Law of Artificial Intelligence
  • Lecture: 2 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14 BS170   
14-15    
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     

Tuesday, 13h - 15h: Lecture BS170