Research

Developments in the field of Artificial Intelligence (AI) and Machine Learning (ML) research has encouraged real-world, practical applications in different areas. However, real-world deployments have revealed that these algorithmic approaches have their fair share of shortcomings. As a HCI researcher, my research seeks to bridge the gap between algorithmic frameworks and effective deployment.

I address this gap through two research goals.

1. Conducting human-centered evaluations of AI/ML systems, accounting for the sociotechnical setting in which they are deployed in order to investigate limitations and challenges.

2. Enable designers to reason about AI/ML models and their shortcomings to more effectively design applications.

(More updates soon)

We studied how journalists working on the misinformation and disinformation beat work with social media & tools, what kind of challenges they face, and how they collaborate with experts to do data work. We presented implications for designing tools, policies, and collaborations that can help journalists.

Methods: semi-structured interviews, thematic analysis