Generative Decision Intelligence™:
Future of Decision Making

Simply put, Generative Decision Intelligence™ involves generating alternatives on demand, leveraging knowledge of the structural dynamics of the decision space within a specific context.

Generative Decision Intelligence™ (GDI) represents the cutting edge of modern artificial intelligence (AI) applications, heralding a new era where AI not only assists in decision-making but also generates decision alternatives we hadn’t even considered. We delve here into the fascinating world of GDI, exploring what it is, its applications, and its transformative impact on our present and future.

Understanding Generative Decision Intelligence™

The “decision space” encompasses the possible alternatives for making a decision. While a list suffices when only a few alternatives exist, it becomes impossible when faced with millions of possible options. Often, we can only recall a manageable subset of alternatives based on prior experience, which can lead to overlooking potentially excellent alternatives. For instance, design decisions can be overwhelming due to the vast number of options available. That's why we often rely on various methods to represent the decision space effectively.

In design decisions, an alternative is not a singular monolithic concept but rather a composition of structural building blocks known as design components or options, following specific composition grammar. By assessing the attributes of these design components, we can determine the measurable attributes of the alternative. The number of design components is much smaller than the number of alternatives, allowing us to specify composition grammar through a finite set of rules. Hence, the “decision space representation” consists of a list of composable components and the accompanying composition rules.

At the core of GDI lie intelligent algorithms, such as genetic algorithms, which explore an extensive decision space based on defined problem goals. These algorithms generate new viable and superior alternatives during exploration, utilizing the knowledge-based representation of the decision space. Ultimately, they discover dominant alternatives—alternatives that are structurally viable and superior in all evaluation criteria of interest, without any other alternatives surpassing them.

Use of Generative AI in GDI

Generative AI and GDI share conceptual similarities, as both generate outputs based on a knowledge model. While Generative AI leverages a general-purpose LLM (Large Language Model), GDI employs a narrower domain-specific Decision Space Model.

The Generative Decision Intelligence™ System aids decision-makers throughout all phases of decision-making, from inception to the last mile of execution. Numerous steps can benefit from the incorporation of generative AI, enriching decision-makers' experience. For instance, in problem framing and decision-space modeling, generative AI proves valuable for brainstorming and concept ideation. Additionally, generative AI serves as a chatbot, enhancing the conversational interface between decision-making teams and the decision-intelligence system.

The Power of GDI

  • Creating a Multitude of Alternatives

    GDI empowers decision-makers to access a vast array of choices beyond what conventional analysis can offer. Instead of a limited number of preconceived alternatives, the system generates numerous possibilities, enhancing decision quality by expanding the range and depth of options.

  • Providing Contextual Understanding

    GDI systems consider various factors that influence decisions, such as time, location, political climate, socio-economic factors, and more. They process these complexities to create contextually grounded alternatives, increasing the likelihood of success.

  • Iterative Learning

    Like all intelligent and adaptive systems, GDI continually learns from feedback, refining the generated alternatives over time. This ensures a continuous improvement in decision quality.

  • Set-based Design Support

    GDI facilitates set-based design decision-making methodology by expanding the set of alternatives and systematically aiding evaluation and elimination of options.

Applications of GDI

GDI is already reshaping numerous sectors. In healthcare, it is employed to generate personalized and highly effective treatment plans based on patient data and the latest research. In finance, GDI models offer diverse investment strategies tailored to individual risk profiles and market conditions.

In the realm of climate change and sustainability, GDI is leveraged to generate innovative solutions to mitigate environmental damage and adapt to changing conditions. The possibilities are vast and transformative, ranging from generating novel methods to reduce carbon emissions to designing sustainable cities and predicting and managing the impact of natural disasters.

The Road Ahead

As we progress further into the AI era, Generative Decision Intelligence™ will undoubtedly assume a vital role. Its ability to provide numerous innovative, context-driven solutions already proves indispensable in navigating complex decision landscapes.

Generative Decision Intelligence™ stands at the intersection of AI, decision science, and creativity. It is not merely about making faster decisions, but better decisions—creative, informed, and beneficial choices. As we harness this powerful tool, we move closer to a future where our most challenging decisions benefit from an intelligence capable of surpassing the constraints of human imagination.