To realize a productive human–AI partnership, AI systems must offer transparent, interpretable, and reliable outputs that complement human creativity and critical thinking, avoiding both over-reliance and uncritical acceptance. Emerging approaches, such as expert-guided collaboration and domain-specific reasoning, are beginning to address these challenges. Ultimately, aligning AI agents with diverse scientific values and contexts will foster a balanced and collaborative research environment.
