AI Ethics
Teacher of the subject:
AMEUR Khadidja,
Department of Computer Science,
University Kasdi Merbah -Ouargla.
Email: ameur.khadidja@univ-ourgla.dz
Target audience:Thirs-year Students of Engineering Cycle
weekly Hourly Volume :1,5H Lecture
Assessment Method : Exam: 100%
Coefficient 2 Credit 2
Content:
1.Introduction: issues of the digital revolution
2. Critical study of ethical issues associated with AI.
3.Legal aspects of AI: regulations, laws, rules.
4. Ethical decision-making processes for privacy, confidentiality, computer crimes, professional responsibilities, software piracy, and the impact and consequences of IT on society.
5. Responsibility of social networks
6. Ethics in IoT, the case of the autonomous vehicle
Teaching Methods
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Lectures: Interactive lectures to explain theoretical and practical aspects.
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Case Studies: Real-world examples to apply ethical and legal frameworks.
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Debates: Structured debates on controversial ethical topics in AI.
- Teacher: Khadidja AMEUR