IndigoVX: Where Human Intelligence Meets AI for Optimal Decision Making
Kais Dukes
This paper defines a new approach for augmenting human intelligence with AI
for optimal goal solving. Our proposed AI, Indigo, is an acronym for Informed
Numerical Decision-making through Iterative Goal-Oriented optimization. When
combined with a human collaborator, we term the joint system IndigoVX, for
Virtual eXpert. The system is conceptually simple. We envisage this method
being applied to games or business strategies, with the human providing
strategic context and the AI offering optimal, data-driven moves. Indigo
operates through an iterative feedback loop, harnessing the human expert's
contextual knowledge and the AI's data-driven insights to craft and refine
strategies towards a well-defined goal. Using a quantified three-score schema,
this hybridization allows the combined team to evaluate strategies and refine
their plan, while adapting to challenges and changes in real-time.