Active Debates

This presentation argues that Immanuel Kant's Categorical Imperative provides a robust framework for developing ethical guidelines for autonomous artificial intelligence. By treating rational agency (both human and artificial) as an end in itself, we can create more predictable and morally sound AI systems.

Exploring how large-scale generative models could be used to create convincing but fabricated historical accounts. What are the potential risks to our shared understanding of history, and what safeguards can be put in place?

The rise of pre-print servers like arXiv has accelerated scientific discovery but challenges traditional peer review. This idea proposes a new, decentralized model for post-publication peer review.

A deep dive into how quantum computing threatens current cryptographic standards and the race to develop quantum-resistant algorithms. We will discuss the principles of Shor's algorithm and the future of secure communication.