Author

M. Anto

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Aug 2026

AI: The scientific revolution that risks being undermined by the digital divide

This article argues that AI's developmental value, when applied to the most critical international development challenges humanity faces, still depends on the geopolitical, institutional, environmental, labor, and ethical conditions that determine how AI development and deployment benefits and risks are distributed.

Marta Koch, J. Wang, Shreya Ravikumar et al. · MIT Science Policy Review · 1 citation

#artificial intelligence Preprint Aug 2026

BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks

This work releases BAITBENCH, a suite of three synthetic tabular ML tasks that each contain a shortcut that allows agents to inflate the public test score but fail on a hidden test set, and releases an annotated dataset of transcripts containing reward hacks as a testbed for evaluating reward-hacking mitigations head-t...

Pradyumna Shyama Prasad, M. Anto, Leon Eshuijs et al. · 3 citations