Dr. Aarav Mehta, PhD
PhD in Artificial Intelligence
University of Oxford United Kingdom
Developing verification methods for machine learning systems deployed in safety-critical industrial settings.
Discipline
Artificial Intelligence
Machine learning, computational reasoning and the governance of intelligent systems.
Few disciplines have moved from the laboratory into public life as quickly as artificial intelligence. The profiles gathered here document researchers working on model interpretability, clinical decision support, computational neuroscience and the institutional frameworks that determine how such systems are deployed.
Profiles
2 profiles
Dr. Alexandra Morgan, PhD, FRSA
PhD in Artificial Intelligence
Massachusetts Institute of Technology United States
Building the interpretability methods that determine whether an automated decision can be explained, contested and corrected.
Editorial
All writing
Writing on artificial intelligence
Scholar Conversation
“Nobody needs to know what the system usually does”
Dr. Aarav Mehta on formal verification, the value of a negative result, and what an industrial partner taught him about his own assumptions.
Artificial Intelligence Sep 7, 2026 8 min read
Research Summary
What interpretability actually requires
A decade of explanation methods has produced impressive demonstrations and remarkably few guarantees. A reading of the formal literature, and of what…
Artificial Intelligence Sep 3, 2026 9 min read
Affiliations
All institutions
Institutions represented
Khalifa University
Abu Dhabi, United Arab Emirates
1 Profile
London School of Economics and Political Science
1 Profile
Massachusetts Institute of Technology
1 Profile
SJM Growth Advisory
1 Profile
Sorbonne Université
1 Profile
The University of Tokyo
1 Profile
Universidade de São Paulo
1 Profile
University of Cambridge
Cambridge, United Kingdom
1 Profile
Submissions
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