Artificial Intelligence Philosophy

Course Information
TitleΦιλοσοφία και Τεχνητή Νοημοσύνη / Artificial Intelligence Philosophy
CodeAI205
FacultySciences
SchoolInformatics
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorChristos Ouzounis
CommonYes
StatusActive
Course ID600016308

Programme of Study: PMS TECΗNĪTĪ NOĪMOSYNĪ (2018 éōs sīmera) PF

Registered students: 13
OrientationAttendance TypeSemesterYearECTS
KORMOSElective Courses belonging to the selected specialization217.5

Class Information
Academic Year2025 – 2026
Class PeriodSpring
Faculty Instructors
Weekly Hours3
Class ID
600290227
Course Type 2021
General Foundation
Mode of Delivery
  • Face to face
  • Distance learning
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
informatics, programming
Learning Outcomes
Exposure of students to the philosophy & ethics of AI, assignments and presentations
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Adapt to new situations
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
participatory study of a range of studies for the philosophy and ethics of artificial intelligence critical processing of arguments (e.g. philosophy) and issues (e.g. ethics) arising writing of essays with the expression of documented views
Keywords
philosophy of artificial intelligence, ethics of artificial intelligence
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Seminars80
Laboratory Work60
Reading Assigment20
Tutorial10
Written assigments30
group activities25
Total225
Student Assessment
Description
ø short essay 30% ø presentation 30% ø assignment 30%
Student Assessment methods
  • Written Assignment (Formative)
  • Performance / Staging (Formative)
  • Report (Formative)
Bibliography
Additional bibliography for study
The Machine QuestionFile THE MACHINE QUESTION CRITICAL PERSPECTIVES ON AI, ROBOTS, AND ETHICS by: DAVID J. GUNKEL MIT Press 2012 (a good reference) ASCRIBING MENTAL QUALITIES TO MACHINESFile ASCRIBING MENTAL QUALITIES TO MACHINES John McCarthy Influential publication by JmC 1979 Does artificial intelligence dream of non-terrestrial techno-signatures?File Does artificial intelligence dream of non-terrestrial techno-signatures? Gabriel G. De la Torre Acta Astronautica 2020 An interesting little paper (experimental) The Ethics of Artificial Intelligence [lectures 08-09]File The Ethics of Artificial Intelligence (reference) Nick Bostrom, Future of Humanity Institute Eliezer Yudkowsky, Machine Intelligence Research Institute Death and the MachineFile Death and the Machine by: Siobhan Lyons Palgrave Pivot 2018 What the Near Future of Artificial Intelligence Could BeFile What the Near Future of Artificial Intelligence Could Be Luciano Floridi Philosophy & Technology (2019) 32:1–15 https://doi.org/10.1007/s13347-019-00345-y
Last Update
05-04-2024