Author

V. Bonagiri

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#artificial intelligence Review Jun 2026

Cognitive Digital Twins: Ethical Risks and Governance for AI Systems That Model the Mind

It is argued that CDTs require governance not only because they can act for people, but because they can become infrastructures through which cognition is represented, simulated, classified, and operationalized.

V. Bonagiri, Juan Nicolas Sepulveda-Arias, A. J. Mahamadou et al. · arXiv.org · 0 citations

Preprint Aug 2026

Multi-Objective Bayesian Optimization for Model Merging

Results show that multi-objective Bayesian optimization is valuable as a search layer for expressive merge parameterizations in model merging and introduce MOBO-Merge, a merge-operator agnostic framework that uses multi-objective Bayesian optimization to approximate the Pareto front under a limited evaluation budget.

Utkarsh Agarwal, V. Bonagiri, Raul Astudillo et al. · 0 citations