Publications (4)
Perceived Fairness of the Machine Learning Development Process: Concept Scale Development
Anoop Mishra, Deepak Khazanchi
In machine learning (ML) applications, unfairness is triggered due to bias in the data, the data curation process, erroneous assumptions, and implicit bias rendered during the deve…
Assessing Perceived Fairness from Machine Learning Developer's Perspective
Anoop Mishra, Deepak Khazanchi
Fairness in machine learning (ML) applications is an important practice for developers in research and industry. In ML applications, unfairness is triggered due to bias in the data…
Integrating Edge-AI in Structural Health Monitoring domain
Anoop Mishra, Gopinath Gangisetti, Deepak Khazanchi
Structural health monitoring (SHM) tasks like damage detection are crucial for decision-making regarding maintenance and deterioration. For example, crack detection in SHM is cruci…
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
Avijit Ghosh, Anka Reuel, Jenny Chim +45
AI evaluation results are produced at scale but reported inconsistently across leaderboards, model cards, benchmark papers, and company blogs. The cost is interpretive: readers can…