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1 results

  • 5 - Research Integrity and Reproducibility

  • Stefano V. Albrecht, Nanyang Technological University, Singapore
  • Book:
    Becoming an AI Researcher
    Published online:
    23 October 2026
    Print publication:
    29 October 2026, pp 57-65

  • Summary

    This chapter explains why integrity and reproducibility are essential for trustworthy AI research in a fast-moving field. It covers practical risks such as unclear credit, unfair baseline comparisons, selective reporting, and overstated claims, and argues that being explicit about limitations strengthens credibility. It then outlines what it means to make work verifiable and usable by others: documenting experimental setups clearly, sharing the key materials needed to reproduce results, and adopting norms that support transparent scientific progress.