Co-founder and Chief Executive Officer i2k Connect Inc.
We describe a research project that leverages recent advances in Artificial Intelligence to develop next-generation knowledge management technology as part of DARPA’s Knowledge Management at Scale and Speed (KMASS) program. The research seeks to develop a virtual member of a Community of Practice, called ATHENA, that knows an individual, his tasks, his organization, and the community.
ATHENA addresses three critical problems:
(1) providing focused, accurate responses to domain-specific questions (2) enabling in-the-flow capture of task-related insights that can benefit other members of a CoP (3) proactive dissemination of insights and content tied to an individual’s knowledge, experience, current task, and needs.
This presentation will overview the research objectives of the KMASS program, the technical work being undertaken to develop ATHENA, and progress to date including successful outcomes from extensive evaluations undertaken with hundreds of volunteers.
Learning Objectives:
Understand how to use current AI technology in your KM programs, including possibilities and limitations
Understand and address issues with the use of Large Language Models for KM
Create seamless interfaces between humans and AI-enabled automation