Blog

Category: Analysis

Using machine learning to address AI risk

At the EA Global 2016 conference, I gave a talk on “Using Machine Learning to Address AI Risk”: It is plausible that future artificial general intelligence systems will share many qualities in common with present-day machine learning systems. If so,...

Response to Cegłowski on superintelligence

Web developer Maciej Cegłowski recently gave a talk on AI safety (video, text) arguing that we should be skeptical of the standard assumptions that go into working on this problem, and doubly skeptical of the extreme-sounding claims, attitudes, and policies...

AI Alignment: Why It’s Hard, and Where to Start

Back in May, I gave a talk at Stanford University for the Symbolic Systems Distinguished Speaker series, titled “The AI Alignment Problem: Why It’s Hard, And Where To Start.” The video for this talk is now available on Youtube:  ...

Safety engineering, target selection, and alignment theory

Artificial intelligence capabilities research is aimed at making computer systems more intelligent — able to solve a wider range of problems more effectively and efficiently. We can distinguish this from research specifically aimed at making AI systems at various capability...

The need to scale MIRI’s methods

Andrew Critch, one of the new additions to MIRI’s research team, has taken the opportunity of MIRI’s winter fundraiser to write on his personal blog about why he considers MIRI’s work important. Some excerpts: Since a team of CFAR alumni...

AI and Effective Altruism

MIRI is a research nonprofit specializing in a poorly-explored set of problems in theoretical computer science. GiveDirectly is a cash transfer service that gives money to poor households in East Africa. What kind of conference would bring together representatives from...