Robustly Beneficial group
The Robustly Beneficial group is an AI ethics group, started by Louis Faucon and Sergei Volodin, in Lausanne, Switzerland. The group is now managed by Louis Faucon, El Mhamdi El Mhamdi and Lê Nguyên Hoang. Every week, we discuss a paper relevant to AI ethics. Please feel free to ask to join.
Past papers
Experimental evidence of massive-scale emotional contagion through social networks. KGH14 RB3.
Recent Advances in Algorithmic High-Dimensional Robust Statistics. DiakonikolasKane19 RB2.
Algorithmic Accountability Reporting: On the Investigation of Black Boxes. Diakopoulos14 RB1.
Efficient and Thrifty Voting by Any Means Necessary, NeurIPS. MPSW19.
The Vulnerable World Hypothesis, Global Policy. Bostrom19.
Occam's razor is insufficient to infer the preferences of irrational agents, NeurIPS. ArmstrongMindermann18.
Supervising strong learners by amplifying weak experts. CSA18.
Embedded Agency. DemskiGarrabrant19.
Concrete Problems in AI Safety. AOSCSM16.
The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artificial Agents, Minds and Machines. Bostrom12.
On the Limits of Recursively Self-Improving AGI, AGI. Yampolski15.
Can Intelligence Explode? Hutter12.
Risks from Learned Optimization in Advanced Machine Learning Systems. HMMSG19.
