Ethics in Artificial Intelligence

Objectives and Contextualization
As an example of a general-purpose technology, artificial intelligence (AI) is present in more and more facets of our lives, creating concerns about its proper use as it evolves.
This course explores the ethical issues surrounding developing and deploying artificial intelligence (AI) technologies. Students will learn about the philosophical, social, and legal considerations related to AI and create an understanding of the potential impacts of these technologies on society. Topics may include bias and fairness in algorithmic decision-making, privacy and surveillance, responsibility and accountability for AI systems, and the ethical implications of automation and job displacement. Through readings, discussions, and case studies, students will develop critical thinking skills and ethical frameworks to analyse and evaluate AI technologies and their impacts. 
Some possible sources of inspiration are: How do we prevent algorithms' ethical biases? How best to embed AI systems in our professional and social relations? Is surveillance capitalism ethical? What ethical codes should guide AI applications like self-driving cars? Are AI systems moral agents? How is our brain considering trust in AI? Do AI systems need to pay taxes? Is the future of AI a threat to our existence? Is it ethical to fall in love with a robot? Can a robot express real feelings?

Competencies
At the end of the course, students will develop the following generic competencies: 
• Critical thinking and analysis.
• Creative thinking for problem solving.
• Capacity to learn autonomously.
• Capacity for generating new ideas.
• Ethical commitment.
• Basic knowledge of the field of study.
• Ability to work in a team.

Learning Outcomes
After completing this course, students will be able to:
1. Identify the ethical challenges of AI development and implementation.
2. Analyze real-life scenarios where AI is involved. 
3. Apply adequate philosophical and ethical frameworks to different case studies.
4. Read news about AI development in a critical way. 
5. Deconstruct ethical problems related to the use of AI. 
6. Produce written ethical guidelines in a business context.
7. Judge actions associated with the performance of AI in socioeconomic environments. 
8. Generate opinions and recommendations to deal with AI in business. 
9. Carry out their research in the field of study.
10. Demonstrate their ability to reason logically. 

Content
Part One: Introduction
Chapter 1: What is ethics? 
Chapter 2: Why AI ethics?

Part Two: Applied ethics
Chapter 3: AI and philosophy of technology.
Chapter 4: Applied ethics and AI.
Chapter 5: AI and transhumanism.
Chapter 6: The moral status of AI.

Part Three: AI in business
Chapter 7: AI in the workplace: Application areas and ethical concerns.
Chapter 8: AI challenges.

Part Four: Topics of interest 
Chapter 9: AI and gender bias.
Chapter 10: AI and political theory.
Chapter 11: Ethics of AI for sustainable development goals.