Normative Ethics, Artificial Intelligence, and Value Alignment

Nicholas Kluge Corrêa is a researcher and machine learning engineer with over a decade of academic experience, specializing in AI ethics and machine learning. He holds dual PhDs in philosophy from the University of Bonn and the Pontifical Catholic University of Rio Grande do Sul. His work covers AI certification, where he developed frameworks like "Ethical Problem Solving" and played a pivotal role in creating some of the first open-source neural text generation models for Portuguese. Nicholas also led the "Worldwide AI Ethics" survey, the most comprehensive meta-analysis of AI ethical guidelines to date.

• 1. Worldwide AI Ethics, Principles, and Blank Spots.- 2. AGI, Existential Risks, and the Control Problem.- 3. Gradient-based Learning and Alignment.- 4. Roots: Building Philosophical Foundations for AI Alignment.- 5. Dynamic Normativity: Learning Human Preferences.- 6. Dynamic Normativity: Aggregating Human Preferences.- 7. Dynamic Normativity: Impact Mitigation.- 8. Moral risk.