Redefining Generative AI: A New Model for Maximizing Effectiveness

Request, Inc., a Tokyo-based company specializing in Human Capital Development, has recently released a transformative report titled "The Essence of Generative AI." In this document, the company aims to reassess the role of human cognition in the application of AI technologies. The pivotal concept introduced is the Seven Levels of Inquiry Model, intended to guide organizations in leveraging generative AI not merely as a tool for correct answers but as a vehicle for producing significant outcomes efficiently.

The conventional perception positions generative AI as a machine capable of delivering correct results. However, Request, Inc. redefines it as a system that offers material for human creators to generate meaningful impacts for their clients, colleagues, and society at large. By answering inquiries about the hypotheses provided by AI with context and assumptions in mind, humans can build trust and value, leading to remarkable results beyond mere processing capabilities.

The Seven Levels of Inquiry Model

Human thinking develops depth through the nature of the questions posed. Below, we detail how the quality of inquiry can influence thinking, actions, and interpretations across seven distinct levels:

Level	Name	Characteristics of Human Inquiry
-	----	------------
Lv. 1	Instructional Processing	"How should I do this?" "What is the correct way?"
Lv. 2	Surface Understanding	"Why this method?" "Isn’t there a lot of waste?"
Lv. 3	Problem Awareness	"Where are the gaps?" "Why this system?"
Lv. 4	Relationship Insight	"What is the other party observing?" "What are their troubles?"
Lv. 5	Design of Goodness	"How can I communicate effectively?" "What would be supportive?"
Lv. 6	Reproduction and Translation	"How can we preserve this?" "How can we make it accessible to everyone?"
Lv. 7	Meaningful Inheritance	"How do we pass this inquiry to future team members?"

The effectiveness of AI hinges significantly on the cognitive engagement of its human users. Even the most advanced generative AI cannot be fully utilized if users operate within levels one and two of inquiry. Thus, it becomes clear that the depth of questioning is crucial to maximizing the capabilities of AI technologies.

The Human Role in the Generative AI Era

In an age where AI handles processing and analytics, humans are required to foster various important skills, such as:
1. Experiencing and validating facts physically: Developing hypotheses from instinctive discomforts felt on the ground.
2. Dialogical skills for co-exploration: Collaboratively designing a state that benefits both parties.
3. A commitment to navigate challenges together: Overcoming conflicts and misunderstandings through dialogue and actions.
4. The ability to visualize unseen structures: Diagramming and sharing the relationships and values of involved parties.

This initiative targets the profound application of generative AI within companies and organizations. Through the implementation of practical programs and talent development tools, we aim to support a transformation into organizations that efficiently create significant impact.

For inquiries, please reach out to the following:

Request, Inc.
Human Capital Development XR HRD® Team
E-mail: [email protected]

Company Overview

- Company Name: Request, Inc.
- Location: 3-4-8 Shinjuku, Shinjuku-ku, Tokyo, 160-0022
- Representative: President Tomoyasu Kohata
- Business Activities: Human capital development planning and generative AI utilization support
- Brand Foundation: Organizational Behavior Science®