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AI alignment is all your need for future drug discovery.

Chunyan Li1

  • 1School of Informatics, Yunnan Normal University, Kunming, China.

Frontiers in Artificial Intelligence
|November 19, 2025
PubMed
Summary

Artificial intelligence (AI) alignment with human values is crucial for safe and beneficial drug discovery. Focusing on human-centered AI ensures robust and interpretable models for future biomedical advancements.

Keywords:
AI alignmentdrug discoverygenerative AIhuman valuesinterpretabilityrobustness

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Area of Science:

  • Biomedical Research
  • Artificial Intelligence
  • Drug Discovery

Background:

  • The integration of artificial intelligence (AI) into drug discovery presents significant opportunities but also risks.
  • Increasing AI complexity necessitates alignment with human values and goals for safety and societal benefit.
  • Ensuring AI alignment is critical for mitigating risks and maximizing the positive impact of AI in drug discovery.

Purpose of the Study:

  • To explore the concepts and challenges of AI alignment within drug discovery.
  • To emphasize human-centered approaches for AI development and deployment in this field.
  • To advocate for AI alignment as a foundational principle for future drug discovery.

Main Methods:

  • Investigated human-centered AI alignment frameworks.
  • Analyzed strategies for integrating human values into AI-driven drug discovery systems.
  • Examined approaches to enhance AI model robustness and interpretability.

Main Results:

  • Identified popular technology frameworks for human-centered AI alignment.
  • Provided insights into the challenges and advancements in AI alignment research.
  • Highlighted the importance of robustness and interpretability in AI models for drug discovery.

Conclusions:

  • Human-centered AI alignment is essential for the responsible advancement of AI in drug discovery.
  • Systematic integration of human values is key to developing trustworthy AI systems.
  • AI alignment is presented as a critical, perhaps singular, requirement for the future of AI-driven drug discovery.