Document Type

Conference Paper

Publication Date


Publication Title

Proceedings of the American Society for Engineering Management 2015 International Annual Conference


1-8 pp.

Conference Name

American Society for Engineering Management International Annual Conference, 7-10 October 2015, Indianapolis, Indiana, USA


Since the birth of modern artificial intelligence (AI) at the 1956 Dartmouth Conference, the AI community has pursued modeling and coding of human intelligence into AI reasoning processes (HI Þ MI). The Dartmouth Conference's fundamental assertion was that every aspect of human learning and intelligence could be so precisely described that it could be simulated in AI. With the exception of knowledge specific areas (such as IBM's Big Blue and a few others), sixty years later the AI community is not close to coding global human intelligence into AI. In parallel, the knowledge management (KM) community has pursued understanding of organizational knowledge creation, transfer, and management (HI Þ HI) over the last 40 years. Knowledge management evolved into an organized discipline in the early 1990's through formal university courses and creation of the first chief knowledge officer organizational positions. Correspondingly, over the last 25 years there has been growing research into the transfer of intelligence and cooperation among computing systems and automated machines (MI Þ MI). In stark contrast to the AI community effort, there has been little research into transferring AI knowledge and machine intelligence into human intelligence (MI Þ HI) with a goal of improving human decision making. Most important, there has been no research into human-intelligence/machine-intelligence decision governance; that is, the policies and processes governing human-machine decision making toward systemic mission accomplishment. To address this gap, this paper reports on a research initiative and framework toward developing an HI-MI decision governance body of knowledge and discipline.


Included with the kind permission of the publisher.

Copyright, American Society for Engineering Management, 2015.

Original Publication Citation

Cotter, T. S. (2015). Research agenda into human-intelligence/machine-intelligence governance. In S. Long, E-H. Ng, & A. Squire (Eds.), Proceedings of the American Society for Engineering Management 2015 International Annual Conference (pp. 1-8). American Society for Engineering Management (ASEM).