**Abstract**

Artificial Intelligence Assisted Innovation (AIAI) is a technology designed to improve innovation productivity by helping human innovators with all the support tasks that kindle the creative spark, and also with sorting out innovative propositions for their merit. Innovation activity is mushrooming and hence innovative history is an ever growing data accumulation. AIAI identified a universal innovation map, which is processed like the tape in a Turing machine, only here in the Innovation Turing machine, marking an innovation pathway. By mapping innovative history onto these maps, one enables the growing record of innovation history to guide current innovation as to merit, expected cost, estimated duration, etc. Using Monte Carlo and Discriminant Analysis, an Artificial Innovation Assistant runs a dialog with the human innovator with a net effect of accelerated innovation. Users of AIAI are expected to exhibit a commanding lead over innovators guided only by their creativity.

**Keywords:** innovation, AI, innovation challenge, innovation solution protocol, Monte Carlo

## **1. Introduction**

AI -- artificial intelligence -- per se is human innovation, all its achievements should then be credited to its human creators, therefore, by Gödelian reasoning, in a very deep level, the artificial entity is subservient to the natural entity, however more efficient AI is in countless specific tasks. One would then wish to combine the in-depth human superiority to the avalanche of superficial superiority exhibited by intelligence that is computational and artificial, and speaks in binary and no more.

We propose a framework for natural and artificial intelligence collaboration in pursuit of an innovative (R&D) objective. We envision a human innovator (HI), interacting with a computerized entity: Artificial Innovation Assistant (AIA). The HI (i) poses questions, (ii) submits information to the AIA, and the AIA in return (i) poses questions, (ii) replies to questions. The AIA is comprised of (i) a dialog part (D), a processor part (P), and an environmental part, (E). The dialog part uses modern AI technique to appear as human-like as possible for its human operator, the processor part is running the powerful AI search and discover algorithms, and operates the underlying innovation framework (the Innovation Solution Protocol -- InnovationSP), while the environmental part (E) interacts with (i) innovation partners, (ii) propriety innovation sources, and (iii) public domain sources.

In addition to the AIA running a dialog with the human innovator, HI, it also runs a dialog with the other innovation stakeholders: (i) the financial investors, (ii) the beneficiaries, and with anyone impacted by the project.

This AIA configuration is geared towards a single innovator working alone, or to a team of small or large size. It applies to local, or global effort, to cases of one private investor, or to many socially minded investors, and to any number of beneficiaries or impacted parties.

This chapter first describes the underlying innovation solution protocol, (InnovationSP), then depicts the AIA configuration, followed by a description of the various AIA parts, concluded with an outlook and a prospective view of the future of artificial intelligence assisted innovation.

For a good review of established innovation thinking see [1–10].
