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Related Experiment Video

Updated: Jun 17, 2026

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

Fostering a collaborative partnership with AI agents in materials/nanoscience.

Renzhi Ma1

  • 1Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan. MA.Renzhi@nims.go.jp.

Nanoscale Horizons
|June 16, 2026
PubMed
Summary

Achieving productive human-AI collaboration requires AI systems to provide transparent, interpretable outputs. Aligning AI with scientific values ensures a balanced research environment, preventing over-reliance and promoting critical thinking.

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Area of Science:

  • Artificial Intelligence in Scientific Research
  • Human-Computer Interaction
  • Research Methodology

Background:

  • The integration of Artificial Intelligence (AI) into scientific research necessitates careful consideration of the human-AI partnership.
  • Ensuring AI outputs are transparent, interpretable, and reliable is crucial for effective collaboration.
  • Avoiding both over-reliance and uncritical acceptance of AI tools by researchers is a key challenge.

Related Experiment Videos

Last Updated: Jun 17, 2026

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014