Implications of generative models in government

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.