| Title | Φιλοσοφία και Τεχνητή Νοημοσύνη / Artificial Intelligence Philosophy |
| Code | AI205 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Spring |
| Coordinator | Christos Ouzounis |
| Common | Yes |
| Status | Active |
| Course ID | 600016308 |
Programme of Study: PMS TECΗNĪTĪ NOĪMOSYNĪ (2018 éōs sīmera) PF
Registered students: 14
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 2 | 1 | 7.5 |
| Academic Year | 2023 – 2024 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600239649
|
Course Type 2021
General Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600239649
- eLearning: https://elearning.auth.gr/course/view.php?id=11751
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=11751
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
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Seminars | 80 | ||||
| Laboratory Work | 60 | ||||
| Reading Assigment | 20 | ||||
| Tutorial | 10 | ||||
| Written assigments | 30 | ||||
| group activities | 25 | ||||
| Total | 225 |
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