AI should evaluate both research outputs and researchers—but not in the same way or with equal weight. Research outputs should be the primary unit of scientific evaluation. Papers, datasets, proofs, […]
How AIIM Could Detect Unsupported Scientific Claims
Scientific papers contain many kinds of statements: direct experimental findings, mathematical deductions, interpretations, literature summaries, and predictions. These statements do not all deserve the same level of confidence. AIIM could […]
AI Confidence Is Not Scientific Certainty: Designing Safer Funding Decisions
Meta description: Artificial intelligence can evaluate research proposals, compare scientific contributions, identify missing evidence, and estimate the probable impact of a project. However, a confident AI answer is not the […]
Can Multiple AI Agents Evaluate Science Better Than One Model?
Yes—multiple AI agents can potentially evaluate scientific work better than a single model, especially when the agents examine different dimensions of a paper independently, challenge one another’s conclusions, and submit […]
Why AI Science Funding Needs Adversarial Testing
Artificial intelligence could make scientific funding faster, broader, and less dependent on institutional prestige. However, an AI system that evaluates research or distributes money cannot be trusted merely because it […]
The Scientific Homogenization Problem: Does AI Make Research Proposals Too Similar?
Large language models can help researchers express ideas more clearly, overcome language barriers, and spend less time formatting grant applications. But they may also create a subtler systemic risk: scientific […]
Should Scientists Be Allowed to Use AI in Grant Proposals?
Yes. Scientists should generally be allowed to use AI in grant proposals, provided that AI remains an assistive tool rather than a substitute for scientific authorship, judgment, and responsibility. Using […]
How to Audit an AI That Distributes Research Funding
An AI system that distributes research funding should never be trusted merely because it is described as “objective,” “transparent,” or “intelligent.” It must be tested against observable evidence. A credible […]
AI Peer Review vs Human Peer Review: Strengths, Biases, and Failure Modes
AI peer review can analyze scientific papers quickly, consistently, and at a scale that human reviewers cannot match. Human peer review, however, remains stronger at interpreting scientific significance, recognizing unconventional […]
Can AI Recognize a Scientific Breakthrough Before Humans Do?
Artificial intelligence may sometimes recognize the potential significance of a scientific result before the wider research community does. It can search enormous bodies of literature, compare ideas across disciplines, detect […]