Kolegij
Studiji
Medical Studies in EnglishStudijska godina
1ISVU ID
251778ECTS
1.50
Introduce participants with fundamental ethical issues related to the development and application of artificial intelligence.
Lecture presentations.
Christoph Bartneck , Christoph Lütge , Alan Wagner , Sean Welsh, An Introduction to Ethics in Robotics and AI, Springer, 2021.
Open access: https://link.springer.com/book/10.1007/978-3-030-51110-4
Silja Voeneky, Philipp Kellmeyer, Oliver Mueller, Wolfram Burgard, The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives, Cambridge, 2022. (selected parts)
High-Level Expert Group on Artificial Intelligence (AI HLEG). Ethics Guidelines for Trustworthy AI, Brussels, 2019, available at: https://ec.europa.eu/futurium/en/ai-alliance-consultation.1.html (selected parts)
Niklas Lidströmer, Hutan Ashrafian (eds.), Artificial Intelligence in Medicine, Springer, 2022. (selected parts)
Manda Raz, Tam C. Nguyen, Erwin Loh (eds.), Artificial Intelligence in Medicine. Applications, Limitations and Future Directions, Springer, 2022. (selected parts)
Regular attendance, written seminar paper and final examination.
Assessment is carried out in accordance with the Rules of Assessment of the Faculty of Medicine, University of Rijeka: course attendance 54 (%), written seminar paper 23 (%), and final exam 23 (%).
Ishodi učenja
Students will be able to recognize, describe and critically discuss AI topics: The Turing Test; Strong and Weak AI; Types of AI Systems; What Is Machine Learning?; What Is a Robot?; Sense-Plan-Act / System Integration; What Is Hard for AI; Science and Fiction of AI.
Ishodi učenja
Students will be able to describe and discuss fundamental elements of ethical theories related to AI, such as: Descriptive Ethics; Normative Ethics; Deontological Ethics; Consequentialist Ethics; Virtue Ethics; Meta-ethics; Applied Ethics; Relationship Between Ethics and Law; Machine Ethics / Machine Ethics Examples / Moral Diversity and Testing.
Ishodi učenja
Students will be able to explain the fundamental concepts related to the topic of ethics of artificial intelligence.
Ishodi učenja
Students will be able to recognize and identify the key aspects of trust and fairness in AI Systems.
Ishodi učenja
Students will be able to identify the main arguments concerning responsibility and liability in the case of AI systems.
Ishodi učenja
Students will be able to recognize and identify main issues regarding psychological aspects of AI.
Ishodi učenja
Students will be able to describe and discuss fundamental elements of privacy issues of AI.
Ishodi učenja
Students will be able to identify the main concerns regarding application areas of AI.
Ishodi učenja
Students will be able to recognize, describe and critically discuss AI topics: The Turing Test; Strong and Weak AI; Types of AI Systems; What Is Machine Learning?; What Is a Robot?; Sense-Plan-Act / System Integration; What Is Hard for AI; Science and Fiction of AI.
Ishodi učenja
Students will be able to describe and discuss fundamental elements of ethical theories related to AI, such as: Descriptive Ethics; Normative Ethics; Deontological Ethics; Consequentialist Ethics; Virtue Ethics; Meta-ethics; Applied Ethics; Relationship Between Ethics and Law; Machine Ethics / Machine Ethics Examples / Moral Diversity and Testing.
Ishodi učenja
Students critically analyze a selected topic related to ethics and artificial intelligence and showcase their depth of understanding and analytical skills.
Ishodi učenja
Students will be able to recognize, describe and critically discuss the following topics related to AI: The Turing Test; Strong and Weak AI; Types of AI Systems; What Is Machine Learning?; What Is a Robot?; Sense-Plan-Act / System Integration. Necessary but Difficult; What Is Hard for AI; Science and Fiction of AI.
Ishodi učenja
Students will be able to describe and discuss fundamental elements of ethical theories related to AI, such as: Descriptive Ethics; Normative Ethics; Deontological Ethics; Consequentialist Ethics; Virtue Ethics; Meta-ethics; Applied Ethics; Relationship Between Ethics and Law; Machine Ethics / Machine Ethics Examples / Moral Diversity and Testing.
Ishodi učenja
Students will be able to explain the fundamental concepts related to the topic of ethics of artificial intelligence.
Ishodi učenja
Students will be able to recognize and identify the key aspects of trust and fairness in AI Systems.
Ishodi učenja
Students will be able to identify the main arguments concerning responsibility and liability in the case of AI systems.
Ishodi učenja
Students will be able to recognize and identify main issues regarding psychological aspects of AI.
Ishodi učenja
Students will be able to describe and discuss fundamental elements of privacy issues of AI.
Ishodi učenja
Students will be able to identify the main concerns regarding application areas of AI.
Ishodi učenja
Students will be able to recognize, describe and critically discuss the following topics related to AI: The Turing Test; Strong and Weak AI; Types of AI Systems; What Is Machine Learning?; What Is a Robot?; Sense-Plan-Act / System Integration. Necessary but Difficult; What Is Hard for AI; Science and Fiction of AI.
Ishodi učenja
Students will be able to describe and discuss fundamental elements of ethical theories related to AI, such as: Descriptive Ethics; Normative Ethics; Deontological Ethics; Consequentialist Ethics; Virtue Ethics; Meta-ethics; Applied Ethics; Relationship Between Ethics and Law; Machine Ethics / Machine Ethics Examples / Moral Diversity and Testing.
Ishodi učenja
Students critically analyze a selected topic related to ethics and artificial intelligence and showcase their depth of understanding and analytical skills.