  Over the past decade, a crisis of confidence in published scientific findings
has catalyzed widespread response from the research community, particularly in
the West. These responses have included policy discussions and changes to
existing practice as well as computational infrastructure to support and
evaluate research. Our work studies Indian researchers' awareness, perceptions,
and challenges around research integrity. We explore opportunities for
Artificial Intelligence (AI)-powered tools to evaluate reproducibility and
replicability, centering cultural perspectives. We discuss requirements for
such tools, including signals within papers and metadata to be included, and
system hybridity (fully-AI vs. collaborative human-AI). We draw upon 19
semi-structured interviews and 72 follow-up surveys with researchers at
universities throughout India. Our findings highlight the need for
computational tools to contextualize confidence in published research. In
particular, researchers prefer approaches that enable human-AI collaboration.
Additionally, our findings emphasize the shortcomings of current incentive
structures for publication, funding, and promotion.
