Investigating methods to detect, classify, and mitigate errors and biases in large language models to ensure their safe and reliable operation.
Addressing the ethical and practical challenges of aligning the goals and values of future artificial superintelligence with those of humanity.
Exploring the transformative potential of AI in education, including the replacement of traditional institutions, and analyzing the risks of overreliance on AI for critical thinking.
Examining the ethical implications of character engineering in ASI and proposing models for AI governance and international cooperation in the age of superintelligence.