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Week |
Subject |
Related Preparation |
1) |
Introduction and Defining the Field of Computer Ethics |
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2) |
Perspectives on Artificial Intelligence |
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3) |
Concepts of AI Ethics |
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4) |
Technical Recommendations on the Ethics of AI |
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5) |
Ethical Principles, Benefits, and Issues of AI |
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6) |
Data Privacy-Preserving Techniques |
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7) |
Legal Aspects of IoT |
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8) |
Cybersecurity Cases on Global Perspectives |
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9) |
AI Ethics Stakeholders and Ethical Digital Ecosystem |
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10) |
Human Rights and AI |
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11) |
AI Ethics & Consequences |
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12) |
Blockchain and Ethical Perspective |
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13) |
Responsible Use of AI in Digital Organizations |
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14) |
Metaverse and Gaming Technologies by Ethical Perspective |
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Course Notes: |
Bernd Carsten Stahl, "Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies”, Springer, ISBN-978-3-030-69978-9, 2020.
European Commission, “Ethics Guidelines for Trustworthy AI”, https://ec.europa.eu/futurium/en/ai-alliance-consultation.1.html
Gry Hasselbalch, “Data Ethics of Power: A Human Approach in the Big Data and AI Era”, Edward Elgar Publishing, ISBN: 978 1 80220 310 3, 2021. |
References: |
Bernd Carsten Stahl, "Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies”, Springer, ISBN-978-3-030-69978-9, 2020.
European Commission, “Ethics Guidelines for Trustworthy AI”, https://ec.europa.eu/futurium/en/ai-alliance-consultation.1.html
Gry Hasselbalch, “Data Ethics of Power: A Human Approach in the Big Data and AI Era”, Edward Elgar Publishing, ISBN: 978 1 80220 310 3, 2021. |
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Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
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2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
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3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
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4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
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5) |
Select and use modern techniques and tools necessary for engineering applications. |
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6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
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7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
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8) |
Access information via conducting literature research, using databases and other resources |
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9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
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10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
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11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
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12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
5 |
13) |
Have a sense of professional and ethical responsibility. |
5 |
14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
5 |