Computer Science

AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical...

As large-scale pre-trained AI models gain popularity in the West, many Chinese AI labs have developed their own models capable of generating coherent text and realistic images and videos. These models represent the frontier...

The development of privacy-enhancing technologies has made immense progress in reducing trade-offs between privacy and performance in data exchange and analysis. Similar tools could be useful for AI governance...

Ethics statements have been proposed as a mechanism to increase transparency and promote reflection on the societal impacts of published research. In 2020, the machine learning (ML) conference NeurIPS broke new ground by...

Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for...

Historically, progress in the field of cryptography has been enormously consequential. Over the past century, for instance, cryptographic discoveries have played a key role in a world war and made it possible to use the internet..

Many socially valuable activities depend on sensitive information, such as medical research, public health policies, political coordination, and personalized digital services. This is often posed a...

Many researchers work on improving the data efficiency of machine learning. What would happen if they succeed?This paper explores the social-economic impact of increased data efficiency. Specifical...

This paper analyzes and reframes AI progress. In addition to the prevailing metrics of performance, it highlights the usually neglected costs paid in the development and deployment of a system, inc...