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Lecturer(s)
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Veselský Pavel, Mgr. Ph.D.
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Course content
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Chapter 1: What is AI ethics? What does AI ethics mean and what role do values and norms play? We'll also look at the principles of AI ethics that we will follow in this course. Chapter 2: What should we do? What do the principles of beneficence (do good) and non-maleficence (do no harm) mean for AI, and how do they relate to the concept of the common good? Chapter 3: Who should be blamed? What does accountability actually mean, and how does it apply to AI ethics? We'll also discuss what moral agency and responsibility mean and the difficulty of assigning blame. Chapter 4: Should we know how AI works. Why is transparency in AI important and what major issues are affected by transparency - and what are some of the risks associated with transparency in AI systems? Chapter 5: Should AI respect and promote rights? What are human rights, and how do they tie into the current ethical guidelines and principles of AI? We'll also look more closely at three rights of particular importance to AI: the right to privacy, security, and inclusion. Chapter 6: Should AI be fair and non-discriminative. What does fairness mean in relation to AI, how does discrimination manifest through AI - and what can we do to make these systems less biased? Chapter 7: AI ethics in practice. What are some of the current challenges for AI ethics, what role do AI guidelines play in shaping the discussion, and how might things develop in the future?
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Learning activities and teaching methods
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Dialogic Lecture (Discussion, Dialog, Brainstorming), Group work
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Learning outcomes
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The Ethics of AI is an online course created and provided by the University of Helsinky in cooperation with Palacky University. It offers the basic insight into the ethical aspects of AI, what AI ethics means, what can and can't be done to develop AI in an ethically sustainable way, and how to start thinking about AI from an ethical point of view: https://ethics-of-ai.mooc.fi/
Preparedness to be interested in new horizons (of AI ethics).
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Prerequisites
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No pre-conditions.
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Assessment methods and criteria
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Student performance
Students will log into the course here: https://ethics-of-ai.mooc.fi/sign-in Then, they study the course on their own schedule. When they are signed in to the system it remembers their progress. The course consists of texts and assignments. Students can study the course sections in any order but it is recommend that they proceed in the suggested order. Before working on the assignments, students should study the textual material of the section. That will help you do the assignments. To complete the course students need to do 90% of assignments and get 80% of assignments accepted as passed. The final assignment in the last module is mandatory (the course feedback form at the end is also mandatory for passing). Passing the course succesfully, students will be provided with the certificate which will be placed at the unique URL address in the course profile. Students are - at the same time - expected to sign into the Moodle course The Ethics of Artificial Intelligence (KSA/EAI) that will be open at the beginning of each semester. Here they will upload the document with unique URL of their certificate. If the course is studied in winter semester, the deadline for this upload is 15.1. of the year If the course is studied in summer semester, the deadline for this upload is 30.5. of the year. This task - uploading the URL of the certificate will be evaluated en block (all students together) after passing the date (15.1. or 30.5.). If student is not on date, he or she will be evaluated as "not passed".
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Recommended literature
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