Recent engagements:
My current research interest lie at the intersection of AI and behavioural/cognitive sciences. In particular, the impact of AI on human cognition. I am also focused on understanding the ethical, philosophical and practical ramifications of increasing use of AI in healthcare and education.
Some of the questions includes:
How does extended exposure to AI-driven virtual environments influence cognitive processing (spatial cognition, memory formation, sense of presence) and decision-making in individuals?
What are the cognitive implications of human-AI collaboration in problem-solving tasks, and how does it shape cognitive load distribution?
What role does emotional intelligence play in human interaction with AI, and how does this interaction shape socio-emotional cognition and interpersonal relationships?
How do AI-generated biases in algorithms influence cognitive processes related to fairness, trust, and decision-making, and what interventions can mitigate these effects?
What role does explainability and transparency of AI algorithms play in shaping users' trust and comprehension, and how can these factors be optimized for effective human-AI interaction?
How do societal norms and cultural values influence the ethical considerations and regulatory frameworks surrounding the development and use of AI technologies?
I am passionate about advancing the ethical, responsible, and sustainable use of AI and data in society.
Overview (Past engagements):
Visual Perception: Scene Perception, image statistics, and emotional scene classification
Psycholinguistics: Visual word recognition and corpus-based psycholinguistics research
Dementia research: Neural basis of cognitive reserve; The role of bilingualism and education in delaying the onset of dementia
Behavioural game theory: Studying players' behaviour (escalation and over-bidding) in multi-player strategy games
Computational Neuroscience: Correspondence between Convolutional Neural Networks (CNN) and human visual areas for categorical representation
Deep Learning: CNN with primary visual cortex front-end to handle adversarial images