Artificial Intelligence: Ethical Considerations and Social Policies (LEPC6)

George Kosteletos

Description

Through its rapid development and spread in recent decades, Artificial Intelligence (AI) has become something broader than a mere scientific endeavor. It shapes our lives and thoughts in multiple ways. It has invaded critical and sensitive instances of social interaction and is poised to dominate even more of our social environment. From financial transactions and customer evaluations to courts, from daily household routines to medicine, and from romantic relationships to warfare, AI determines—or is poised to determine—the way human life is structured. What are the ethical issues raised, and what are the social policies proposed and adopted for the safe and fruitful integration of AI into our society? This course aims to offer students a timely picture and sufficient understanding of the current philosophical and social discussion regarding the development and adaptation of AI into crucial embodiments of human activity. Furthermore, it aims to equip students with the necessary concept

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Course Syllabus

I. Introduction to basic terminology - First overview of the field known as "Ethics of AI".
II. Historical and Philosophical origins of AI.
III. Old ethical dilemmas and AI.
IV. Novel ethical dilemmas and AI.
V. AI and the Accountability of Moral Agency.
VI. AI in the light of Enhancement Ethics.
VII. AI and health.
VIII. AI and warfare.
IX. AI and romantic companionship.
X. AI and education.
XI. AI and the environment.
XII. AI and justice.
XIII. Governance issues in AI.

Course Objectives/Goals

The aim of the course is:
• Mapping the field of contemporary applications of Artificial Intelligence (AI) as well as the ethical dilemmas they raise.
• Familiarizing students with the basic technical concepts of AI.
• Familiarizing students with the basic concepts of ethical and philosophical issues related to Artificial Intelligence.
• Empowering students to recognize the ethical aspects of each AI application.
• Understanding Leadership issues arising in relation to the phenomenon of AI.
• Understanding contemporary decision-making processes and governance of AI.
• Applying various ethical and philosophical frameworks for evaluating and regulating modern incarnations of AI.

Instructional Methods

This course employs a dynamic blend of instructional methods to ensure a comprehensive learning experience. With a focus on engagement and flexibility, the instructional approach comprises 75% face-to-face teaching, fostering direct interaction between instructors and students in a traditional classroom setting. Additionally, 25% of the course involves distant teaching, which can be delivered either synchronously or asynchronously. This remote component allows students to access course materials, participate in discussions, and engage with learning activities at their own pace, leveraging online platforms and resources. By combining face-to-face interaction with remote learning opportunities, the course aims to cater to diverse learning styles and preferences, facilitating deeper understanding and collaboration among students while accommodating individual schedules and needs.

Assessment Methods
  • 20%: Participation
  • 20%: Oral presentation
  • 60%: Written assignment
Prerequisites/Prior Knowledge

This module has no prerequisites in the curriculum or prior knowledge requirements.

Instructors

Instructors for the course will be announced shortly.

Textbooks

To be added soon.

Bibliography
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  • Müller, V. C. (2020). Ethics of Artificial Intelligence and Robotics. Zalta, Ε.Ν. (ed.). The Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/archives/fall2020/entries/ethics-ai/
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