Abstract
This work introduces an En-GAN-eer, a cognitive system that is built upon a Generative Adversarial Network (or GAN). This cognitive system is used to generate visual ideas that can be used as a basis for communicating ideas from one entity in an organization to another. Clearly communicating an idea to others can be a difficult and time consuming task, which can involve hand drawings, textual descriptions, or specialized software requiring expertise. While drawing has the benefits of being language free, and requiring little expertise, many individuals are not well versed with this skill set. This work also explores how the assignment of intellectual contributions may evolve within teams that include both human decision makers and cognitive assistants such as an En-GAN-eer. From a government and policy perspective, novel legislation may be needed in order to create incentives that promote the acceptance and integration of cognitive systems into the workforce.
| Original language | English (US) |
|---|---|
| Title of host publication | FS-17-01 |
| Subtitle of host publication | Artificial Intelligence for Human-Robot Interaction; FS-17-02: Cognitive Assistance in Government and Public Sector Applications; FS-17-03: Deep Models and Artificial Intelligence for Military Applications: Potentials, Theories, Practices, Tools and Risks; FS-17-04: Human-Agent Groups: Studies, Algorithms and Challenges; FS-17-05: A Standard Model of the Mind |
| Publisher | AI Access Foundation |
| Pages | 158-163 |
| Number of pages | 6 |
| Volume | FS-17-01 - FS-17-05 |
| ISBN (Electronic) | 9781577357940 |
| State | Published - Jan 1 2017 |
| Event | 2017 AAAI Fall Symposium - Arlington, United States Duration: Nov 9 2017 → Nov 11 2017 |
Other
| Other | 2017 AAAI Fall Symposium |
|---|---|
| Country | United States |
| City | Arlington |
| Period | 11/9/17 → 11/11/17 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
}
Implications of generative models in government. / Dering, Matthew L.; Tucker, Conrad S.
FS-17-01: Artificial Intelligence for Human-Robot Interaction; FS-17-02: Cognitive Assistance in Government and Public Sector Applications; FS-17-03: Deep Models and Artificial Intelligence for Military Applications: Potentials, Theories, Practices, Tools and Risks; FS-17-04: Human-Agent Groups: Studies, Algorithms and Challenges; FS-17-05: A Standard Model of the Mind. Vol. FS-17-01 - FS-17-05 AI Access Foundation, 2017. p. 158-163.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Implications of generative models in government
AU - Dering, Matthew L.
AU - Tucker, Conrad S.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This work introduces an En-GAN-eer, a cognitive system that is built upon a Generative Adversarial Network (or GAN). This cognitive system is used to generate visual ideas that can be used as a basis for communicating ideas from one entity in an organization to another. Clearly communicating an idea to others can be a difficult and time consuming task, which can involve hand drawings, textual descriptions, or specialized software requiring expertise. While drawing has the benefits of being language free, and requiring little expertise, many individuals are not well versed with this skill set. This work also explores how the assignment of intellectual contributions may evolve within teams that include both human decision makers and cognitive assistants such as an En-GAN-eer. From a government and policy perspective, novel legislation may be needed in order to create incentives that promote the acceptance and integration of cognitive systems into the workforce.
AB - This work introduces an En-GAN-eer, a cognitive system that is built upon a Generative Adversarial Network (or GAN). This cognitive system is used to generate visual ideas that can be used as a basis for communicating ideas from one entity in an organization to another. Clearly communicating an idea to others can be a difficult and time consuming task, which can involve hand drawings, textual descriptions, or specialized software requiring expertise. While drawing has the benefits of being language free, and requiring little expertise, many individuals are not well versed with this skill set. This work also explores how the assignment of intellectual contributions may evolve within teams that include both human decision makers and cognitive assistants such as an En-GAN-eer. From a government and policy perspective, novel legislation may be needed in order to create incentives that promote the acceptance and integration of cognitive systems into the workforce.
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UR - http://www.scopus.com/inward/citedby.url?scp=85044462610&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85044462610
VL - FS-17-01 - FS-17-05
SP - 158
EP - 163
BT - FS-17-01
PB - AI Access Foundation
ER -