Interação Pessoa-IA

Objectives

Develop skills, knowledge, and critical thinking in: ● Design, study, and development of systems in which people interact with Artificial Intelligence (AI) ● Design and development of mixed-initiative and agency systems (Human and AI) ● Concepts, perspectives, and applications of autonomous agents and mixed multi-agent systems ● Methods and algorithms for strategic action and decision-making based on game theory ● Learning in multi-agent systems ● Human factors in the interaction between people and AI: o User experience o Natural interaction o Trust o Understanding and explainability ● Ethical issues of interactive AI

Syllabus

1. Defining human-AI interaction 2. Mixed initiative interaction and human- AI collectives 3. Applications of human-AI interactions: augmentation, co- creation, decision support, conversational AI 4. Human-AI interaction design 5. Embodied AI and Social Robotics 6. Social Interactions: social grounding, communication, and affect 7. Collaborative AI 8. User experience, understanding and control 9. Agency and Trust 10. Transparency of AI and Explanations 11. Ethics, Bias and Principle of No-harm 12. Social roles of AI, human oversight and responsibility 13. Game Theory Fundamentals 14. Normal form games, Nash equilibria and Pareto 15. Mixed Strategies 16. Coordination games 17. Extensive form games 18. Bayesian games 19. Repeated games 20. Multi-agent Learning

Prerequisites

Students should be proficient in programming

Cross Competence Component

1. Critical and innovative thinking - creativity - critical thinking - problem solving strategies 2. Global citizenship - tolerance and openness 3. Interpersonal Skills - written communication - team work 4. Intrapersonal Skills - intrinsic Motivation - decision making 5. Information and media literacy - structuring and formatting of documents and presentations.

Laboratorial Component

The project development will be monitored during the laboratory component.

Programming And Computing Component

The course is designed to support students in designing and implementing systems with Human-AI interaction. As such, students should be proficient in programming. Groups are free to select their programming language of preference.

Ethical Principles

All members of a group are responsible for the group’s work In any assessment, every student shall honestly disclose any help received and sources used. In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.