Philosophy & Ethics of Artificial Intelligence

Learning Outcomes:

• Defining intelligence and exploring different types of AI (narrow, general, super).
• Examining theories of consciousness and their implications for AI.
• Analyzing approaches to reasoning in AI, including logic-based and machine learning methods.
• Evaluating ethical theories and their application to AI development.
• Investigating issues of algorithmic bias, accountability, and transparency.
• Assessing the impact of AI in specific domains like healthcare and warfare.
• Exploring potential paths to superintelligence and associated risks.
• Addressing the value alignment problem in AI development.
• Discussing the societal impacts of AI, including effects on work and human relationships.
• Analyzing phenomena like filter bubbles, echo chambers, and surveillance capitalism in relation to AI.
• Considering philosophical questions about the nature of intelligence, consciousness, and morality.
• Evaluating approaches to implementing moral agents in AI systems.
• Examining the challenges of AI decision-making in complex ethical scenarios.
• Exploring the concept of machine consciousness and its ethical implications.
• Discussing the potential for AI to enhance or alter human cognitive capabilities.
• Analyzing the role of AI in shaping public discourse and democratic processes.
• Considering the long-term implications of AI development for human society and identity.
• Examining frameworks for responsible AI development and deployment.

Skills for module:

Artificial Intelligence

Neural Networks

Deep Learning

Machine Learning

Problem Solving

Critical Thinking

Time Management

Communication