We believe that artificial intelligence will be one of the two or three transformational technologies of our century. And, like any incredibly powerful tool, we have to ensure it is used wisely.
Unlike most other powerful tools, though, there are likely to be technological ways that we can steer AI to be beneficial to all of humanity. Unfortunately, we think that research in this field is currently being neglected.
To help fix this, ASI will sponsor a Fellow to contribute to the field of AI safety research. This fellow will work for two months on a technical project in the domain of AI safety, hopefully in collaboration with other researchers in the field.
This project will run alongside our conventional fellowship, but be distinct from it. The bursary will be at the level of a London PhD salary. The applicants do not need the same background as our data science fellowship. They need to be able to demonstrate that they can contribute to research at the highest level.
They do not have to want to transition into data science, and do not have to have finished their PhD.
PhD in Astrophysics, Universitat de Barcelona
Building a data quality service for the SherlockML platform
PhD in Mathematics, University of Bristol
Predicting customer retention and factor weighting at online pet food retailer Tails.com
PhD in Mathematics, University of Cambridge
Deep Learning for Weakly Supervised Object Detection in Computer Vision with AI startup Tractable
PhD in Financial Economics, European University Institute
Predicting performance in sales teams for human resources company Hudson
PhD in Theoretical Physics, Imperial College London
Building a recommendations system using machine learning for Nectar card
PhD in Physics, Princeton University
Measuring air quality in parks in London using Open Data