Release of AI Interview Magazine 'AI Future Talks' Vol. 4 & 5

Defide Co., Ltd. released new interviews in its 'AI Future Talks' series featuring AI researchers Hiroshi Ishiguro and Ryutaro Ichise, offering deep insights on AI integration and risk management for business executives.
その他NQ 80/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 7, 2026 at 20:00
  • 🔍 Collected: April 7, 2026 at 11:30
  • 🤖 AI Analyzed: April 20, 2026 at 22:27 (322h 56m after Collected)
Defide Co., Ltd. (Akasaka 2-4-6, Minato-ku, Tokyo, CEO: Tetsuya Yamamoto), an AI/DX consulting company, has released the 4th and 5th installments of the "AI Future Talks" interview series featuring leading AI researchers in Japan.

The latest releases feature two notable figures: Dr. Hiroshi Ishiguro (Professor at the Graduate School of Engineering Science, Osaka University, and Distinguished Professor at Osaka University), a world-renowned pioneer in android research, and Dr. Ryutaro Ichise (Professor at the Institute of Science Tokyo), an authority on countermeasures for AI hallucination (false information generation) and knowledge graph research.

This dialogue condenses specific questions and insights that resonate with "executives who want to master AI," "leaders promoting AI and DX," and "students interested in AI research."

## ■ AI Future Talks Published Interview Series (Excerpt)

**[Vol. 4] Dr. Hiroshi Ishiguro, Professor at the Graduate School of Engineering Science, Osaka University (Distinguished Professor at Osaka University)**
**"Creating and designing the future is the responsibility of human beings"**
* Recommended readers: Executives, AI/DX leaders, AI researchers and students

Dr. Ishiguro states, "Only by creating robots (androids) that look exactly like ourselves can we begin to see what a human being is." Robot research is not about making machines; it is a mirror reflecting humanity. His continuous questioning of "What is life?" as the producer of the Expo Signature Pavilion "Future of Life" overlaps with the fundamental questions of human resource utilization, organizational design, and collaboration with AI in corporate management.

He further points out that "The Japanese are the only people who accept robots not as tools but as partners." This provides a perspective for Japanese companies introducing AI, positioning it not merely as an efficiency tool but as an entity that co-creates with people. Here lies an answer from the forefront of research to the question of "the division of roles between AI and humans" that DX leaders must rethink.

▶ Hints for Executives and Practitioners
- Robot research is an endeavor to question the "essence of human beings" — a hint to redefine the purpose of AI utilization in your own company.
- Organizational design and HR strategy will change depending on whether AI is viewed as a "tool" or a "partner."
- "Looking ahead to the future and designing it with intent" is the responsibility of today's executives and researchers.
- The Japanese culture of accepting robots and AI could become a competitive advantage in the global market.

**[Vol. 5] Dr. Ryutaro Ichise, Professor at the Institute of Science Tokyo**
**"Knowing the principles of AI is fundamental"**
* Recommended readers: Executives, AI/DX leaders, AI researchers and students

"Why does generative AI cause hallucinations (false information generation)?" — To this question intuitively felt by many executives and practitioners, Dr. Ichise answers directly through the technical solution of knowledge graphs. Understanding the mechanism by which AI tells "plausible lies" directly leads to clarifying the criteria for AI utilization and minimizing implementation risks.

Dr. Ichise, who continues his research across the three areas of machine learning, knowledge discovery, and knowledge sharing, asserts, "To control AI correctly, it is essential to know its principles." A significant competitive gap will emerge in the medium to long term between organizations that "leave it to the black box" and those that "understand AI's strengths and weaknesses to utilize it." He preaches the importance for students and researchers to learn how AI works before using it superficially, which is also a valuable perspective for AI risk literacy education.