Christian Schoeberl is a Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). Prior to joining CSET, Christian focused on the intersection of data science and public sector problems at the local level. Christian holds a Master’s in Data Science and Public Policy from Carnegie Mellon University, as well as degrees in Economics, International Affairs, and Computing from the University of Georgia.
Process frameworks provide a blueprint for organizations implementing responsible artificial intelligence (AI), but the sheer number of frameworks, along with their loosely specified audiences, can make it difficult for organizations to select ones that meet their needs. This report presents a matrix that organizes approximately 40 public process frameworks according to their areas of focus and the teams that can use them. Ultimately, the matrix helps organizations select the right resources for implementing responsible AI.
Profile Highlight: HuggingFace
December 2022Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked to research publications. Check in every two weeks to see our newest Snapshot exploring this unique dataset and analyzing the role of GitHub’s community in technology research and development.