Do Artificial Reinforcement-Learning Agents Matter Morally?
Artificial reinforcement learning (RL), a widely used training method in computer science, has striking parallels to reward and punishment learning in biological brains. Plausible theories of consciousness imply a non-zero probability that RL agents qualify as sentient and deserve our moral consideration, especially as AI research advances and RL agents become more sophisticated.Download PDF
The Eliminativist Approach to Consciousness
This essay explains my version of an eliminativist approach to understanding consciousness. It suggests that we stop thinking in terms of "conscious" and "unconscious" and instead look at physical systems for what they are and what they can do. This perspective dissolves some biases in our usual perspective and shows us that the world is not composed of conscious minds […]Download PDF Read Online
A Dialogue on Suffering Subroutines
This piece presents a hypothetical dialogue that explains why instrumental computational processes of a future superintelligence might evoke moral concern. Generally, agent-like components might emerge in many places, including the computing processes of a future civilization. Whether and how much these subroutines matter are questions for future generations to figure out, but it's good to keep an open mind to the possibility that our intuitions about what suffering is may change dramatically.Read further
Flavors of Computation Are Flavors of Consciousness
If we don't understand why we're conscious, how come we're so sure that extremely simple minds are not? I propose to think of consciousness as intrinsic to computation, although different types of computation may have very different types of consciousness – some so alien that we can't imagine them. Since all physical processes are computations, this view amounts to a […]Read further
We conduct foundational research on how to best reduce suffering. Our goal is to identify cooperative and effective strategies to reduce risks of dystopian futures.