Establishing an AI Community of Interest at EXIM
Background
Background
ACT-IAC Associates 2024 Report to Emerging Technology Community of Interest (ET COI)
Report: Leveraging AI to Modernize Legacy Code in Federal Civilian Agencies
Developed by: Team Emerging Technology: More than Meets AI (ET: MAI)
Released: December 23, 2024
DevSecOps: Challenges and Solutions
Developed by the Emerging Technology Community of Interest, DevOps Working Group
Published: July 28, 2023
ACT-IAC ARTIFICIAL INTELLIGENCE WORKING GROUP (AIWG) Responses
Fundamentals of Quantum Computing: Frequently Asked Questions and Myth Busting
Developed by the Emerging Technology Community of Interest
Published: June 9, 2023
Emerging Technology Challenge: Advancing Open Innovation Through Public and Private Collaboration
Developed by the Emerging Technology Community of Interest
Published: April 10, 2023
ACT-IAC White Paper: AI Understanding in US Federal Government
Developed by the Emerging Technology Community of Interest
Published February 15, 2023
ACT-IAC White Paper: Safety, Privacy, Security, in an Artificial Intelligence-Empowered World
Developed by the Emerging Technology Community of Interest, Artificial Intelligence Working Group
Published August 9, 2022
This standard operating procedure (SOP) outlines the steps for accessing use cases via ACT-IAC’s NUCSL, as well as searching and submitting use cases via a NUCSL. For questions on this SOP, please email [email protected]. Thank you.
To access the NUCSL, use the following link: https://www.actiac.org/NUCSL
NOTE: This document is under development and has been released in DRAFT format for reference. Please check back regularly for any updates.
This Primer is intended to be a foundational tool in the understanding of blockchain and its use cases within the United States federal government. To that end, it should help allay the concerns that some may have about this new technology by providing an introduction to blockchain and its related technologies, and how blockchain can be safely and securely applied to the right government use cases.