URL study guide

https://studiegids.vu.nl/en/courses/2024-2025/XB_0117

Course Objective

Knowledge and insight: Has demonstrable knowledge and understanding of a discipline that builds on and exceeds the level achieved in secondary education; usually operates at a level where, with the support of specialised manuals, there are some aspects that require knowledge of the latest developments in the field of expertise. – Summarize key ideas from primary texts in the analytic philosophy of AI. Applying knowledge and insight: Is able to apply his knowledge and insight in such a way that it shows a professional approach to his work or profession, and also has competencies for drawing up and deepening arguments, and for solving problems in the field of expertise. – Place contemporary debates on artificial intelligence within its proper historical and philosophical contexts. – Apply key philosophical theories relevant to assessing the ethical relevance of cutting-edge AI technologies. Judgement: Student is able to collect and interpret relevant data (usually in the field of expertise) with the aim of forming an opinion that is partly based on weighing relevant social, scientific or ethical aspects. Communication: Is able to communicate information, ideas and solutions to an audience consisting of specialists or non-specialists. Learning skills Has the necessary learning skills to enter into a follow-up study that presupposes a high level of autonomy. – The student can clearly structure and express own philosophical views in writing and speech. Learning skills: Has the necessary learning skills to enter into a follow-up study that presupposes a high level of autonomy. – Relativize and contextualize potential threats posed by AI but also identify threats that might be overlooked.

Course Content

Everyone seems to be talking about AI these days. While some present AI as the savior of humanity, others claim that it will soon become conscious and inevitably destroy us. In this course, we will provide the philosophical background that will allow you to contextualize the most important academic and non-academic debates about AI. You will be able to see for yourself which debates are] exaggerated, and which debates should be paid more attention to. We will start with some basic ethical issues (responsible AI, moral agency of AI). Those discussions will soon motivate more theoretical or foundational topics from the philosophy of mind and language. Some of these topics are old, but recent progress in AI research (e.g., transformer models like GPT or LaMDA) also raises new philosophical issues.

Teaching Methods

Interactive lectures, Supervised group work, tutorials, and exercises

Method of Assessment

100% Pass/Fail Multiple Choice Exam
Academic year1/09/2431/08/25
Course level3.00 EC