Artificial Intelligence Engineering
ETHICS AND SOCIAL ASPECTS OF ARTIFICIAL INTELLIGENCE
Description
Theory
2
Laboratory
2
Instructors
Goreti Marreiros
Contents
1- Impact of Artificial Intelligence on Jobs and Society
2- Intelligent System - Human Interaction
2.1 - Interaction design (e.g. voice, gestures, natural language)
2.2 - Collaboration mechanisms
2.3 - Simulation
3- Affective Computing
3.1 - Emotional models
3.2 - Personality Models
3.3 - Behavior Styles
3.4 - Emotion and mood detection mechanisms
3.5 - Emotional contagion
4- Rational and Emotional Aspects in Supporting Decision Making
4.1 - Rationality in decision making
4.2 - Role of emotional aspects in decision making
5- Group Support
5.1 - Group decision
5.2 - Consensus-based approaches
5.3 - Multi-criteria approaches
5.4 - Argumentation
5.5 - Affective Computing in Group supports
5.6 - Evaluation of the decision
6- Argumentation
6.1 - Theoretical models of argumentation
6.2 - Dialog Games
7- Ethical Issues Related to Artificial Intelligence
Learning Outcomes
CO1 - Know, understand and apply the consideration of ethical, social and emotional aspects in the development of intelligent systems
CO2 - know, understand and design group support systems
CO3 - Identify and understand the main ethical issues related to Artificial Intelligence
CO4- Develop transversal skills related to teamwork in response to challenges (AI Challenges4Teams)