Data scientists in academia and industry are increasingly recognizing the importance of integrating ethics into data science curricula. Recently, a group of faculty and students gathered at New York University before the annual FAT* conference to discuss the promises and challenges of teaching data science ethics, and to learn from one another’s experiences in the […]
Getting serious about research ethics: AI and machine learning
September 18, 2017 by
[This blog post is a continuation of our series about research ethics in computer science.] The widespread deployment of artificial intelligence and specifically machine learning algorithms causes concern for some fundamental values in society, such as employment, privacy, and discrimination. While these algorithms promise to optimize social and economic processes, research in this area has […]
BlockSci: a platform for blockchain science and exploration
September 11, 2017 by
The Bitcoin blockchain — currently 140GB and growing — contains a massive amount of data that can give us insights into the Bitcoin ecosystem, including how users, businesses, and miners operate. Today we’re announcing BlockSci, an open-source software tool that enables fast and expressive analysis of Bitcoin’s and many other blockchains, and an accompanying working […]
