Surabhi Dalal
Papers
1
Total Citations
34
H-Index
1
About
Surabhi Dalal is a leading voice in the responsible development of artificial intelligence, with her research centering on the critical intersection of machine learning and ethics. Her most influential work, the 2018 paper "ETHICAL FRAMEWORK FOR MACHINE LEARNING" (34 citations), provides a foundational blueprint for navigating the profound ethical challenges posed by increasingly autonomous systems. In this seminal contribution, Dalal systematically dissects the risks of unchecked AI—from biased decision-making to the erosion of human agency—and proposes a robust, actionable framework for embedding fairness, transparency, and accountability into the design and deployment of machine learning models. Her work is particularly notable for its prescience, anticipating many of the regulatory and societal debates that dominate AI discourse today. By bridging the gap between technical implementation and moral philosophy, Dalal has established herself as an essential thinker for students and researchers seeking to build AI that serves humanity responsibly. Her research continues to shape how we balance technological progress with the imperative for ethical governance.
Research Focus
Key Achievements
Top Papers
- 1ETHICAL FRAMEWORK FOR MACHINE LEARNING34 citations · 2018