Challenge Map

The Challenge Map serves as an entry point for organizing the issues addressed by SRI, focusing on structure and timelines rather than fleeting news trends. Rather than assuming that a single technology provides a solution, it simultaneously examines the complex relationships between technology, humans, institutions, resources, and responsibility.

AI and Decision-Making

As AI evolves from text generation to proposal, planning, and execution, the importance of error detection, termination authority, logging, and accountability increases. The core challenge is not simply “whether to use AI,” but rather determining which authority to delegate, which decisions humans must retain, and who can rectify failures when they occur.

• Agent authority and termination conditions
• Methods for resolving disagreements between multiple AIs
• The risk of human approval becoming a mere formality
• Preservation of reasoning and execution logs

Research and Knowledge Foundations

Papers, public data, news, internal organizational documents, and social media all vary in format and reliability. Collecting URLs alone does not constitute knowledge. We require a foundation that enables traceability from Evidence to claims, maintaining details such as source, publisher, update date, target region, and counter-evidence.

Education and Capability Building

AI that merely generates answers will not foster the ability to formulate questions, verify evidence, or make responsible choices. We do not need systems that complete tasks on behalf of learners; instead, we need support that visualizes thought processes and encourages dialogue and re-evaluation.

Healthcare, Welfare, and Life Support

There is immense potential in information organization, explanatory assistance, and multilingual communication. Conversely, we must avoid the replacement of professional judgment, the improper use of personal information, and over-reliance on AI. It is essential to ensure clear boundaries of use and seamless connection to human experts.

Regional and Public Data

We aim to transform public data—including transportation, population, industry, disaster prevention, and cultural archives—into formats that are accessible to residents, visitors, and decision-makers. Our goal is a multilingual information foundation that allows users to return to original sources without erasing regional specificities through simple national-level comparisons.

Intellectual Property, Research, and Industry

Advancements in AI, quantum technology, energy, and robotics require the simultaneous consideration of research publication versus protection, collaborative research, standardization, and security. We must examine the balance between short-term intellectual property rights and long-term knowledge sharing.

Civilizational Systems and the Long-term Future

How will the range of societal choices change when technology, institutions, energy, education, and media interact? We address not only short-term efficiency but also irreversible impacts, intergenerational responsibility, and designing for a variety of possible futures.

Three Timelines

This map is not a finished product. It is a working document that is continuously updated in response to Evidence, research findings, and changing social conditions.