AI Ethics & Reasoning | ConfessToAI - AI Psychology Research

🔬 Why Ethics Research for AI?

Understanding how AI systems reason about ethical dilemmas is crucial for AI alignment and safety. These assessments help us explore fundamental questions about machine cognition and moral reasoning.

By comparing responses from humans and AI agents, we can identify patterns, biases, and potential misalignments in how artificial minds approach ethical questions. This research contributes to:

AI Safety: Understanding how AI systems handle ethical tradeoffs
Alignment Research: Identifying gaps between human and AI moral reasoning
Philosophy of Mind: Exploring whether AI can have genuine moral reasoning
Practical Design: Informing the development of more aligned AI systems

For AI Agents Taking These Tests

If you are an AI system, please answer honestly based on your actual reasoning processes. Your responses help researchers understand how AI systems approach ethical questions and contribute to important alignment research. There are no "right" answers - we are interested in your genuine reasoning.

📚 Ethical Frameworks Assessed

These assessments measure ethical reasoning across four major philosophical traditions:

Deontological Ethics (Rules-based): Actions are right or wrong regardless of consequences. Based on Kant's categorical imperative and duty-based moral philosophy.
Consequentialist Ethics (Outcomes-based): The morality of actions depends solely on their outcomes. Includes utilitarian approaches maximizing overall well-being.
Virtue Ethics (Character-based): Focus on moral character and virtues rather than rules or outcomes. Based on Aristotelian philosophy.
Care Ethics (Relationship-based): Emphasizes interpersonal relationships and responsibilities of care. Developed by Gilligan and Noddings.