Talk with Professor Antonio Roda on AI Alignment via Ethics || Myspy || Madhusudhan Pathak ||

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00:00:00 - Building AI Alignment Careers
Professor Roda suggests two approaches for those interested in AI alignment through philosophy. First, clarify your methodological approach—whether computer science or philosophy—to avoid confusion and present a clear stance to employers or collaborators. Second, identify and analyze specific papers in the field to build a foundational knowledge base for further research.

00:05:00 - Artificial Consciousness and AI Safety
Pathak shares his approach, involving philosophical discussions of technological matters. Professor Roda acknowledges Pathak's shift from artificial consciousness to AI safety and alignment through ethics, termed artificial wisdom.

00:10:00 - Research Project Structuring
Pathak discusses his AI research project, emphasizing abstraction and perception using different scientific languages. Advised to divide his project into multiple papers, Pathak seeks guidance to publish his work, focusing on artificial wisdom. Finding suitable Master's programs in AI safety or ethics is challenging, so he considers a PhD the best option.

00:15:00 - Two Ethics Approaches in AI
Professor Roda outlines two approaches to AI ethics: starting from abstract concepts to specific applications and designing ethics for AI systems themselves. He discusses crime prediction systems to highlight fairness and human rights considerations. Roda aims to make machines ethical and wise, planning to explore relevant papers for further discussion, despite not being a philosopher by training.

00:20:00 - Research and Learning Challenges
Professor Roda shares his interest in philosophy and abstract thinking, and Pathak expresses his frustration with irrelevant compulsory study topics hindering his AI ethics progress. He aims to publish his thoughts on AI alignment via ethics, avoiding Master's programs due to their irrelevant content.

00:25:00 - Specific Approaches to AI Ethics
Professor Roda discusses the challenges of defining ethics for AI alignment due to cultural differences and contrasting approaches. He proposes a multi-agent system where each agent promotes one ethic and negotiates with others. Roda advocates for specific solutions to ethical problems rather than a general solution, drawing from the history of intelligence development, which achieved general intelligence through the development of narrow intelligences.

00:30:00 - Evolution of Human Alignment
Pathak's recent project explores how evolution made humans align with others, the environment, and animals, focusing on traits of socialism and empathy. He explains that empathy and socialism develop in a feedback loop, influencing each other. Roda mentions relevant literature but suggests the question may be better answered by a philosopher.

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