[general_dat] Seminario AISAR – Control Tax: The Price of Keeping AI in Check

[Agustín Martinez Suñé]

Recordatorio de esta charla hoy!

El mié, 1 oct 2025 a las 18:22, Agustín Martinez Suñé (<
agusmartinez92 at gmail.com>) escribió:

> Desde el Programa de Becas AISAR en AI Safety tenemos el placer de
> invitarlos a la próxima charla de nuestro seminario online, con la
> participación de investigadores del área.
>
> 📌 Fecha y hora: Miércoles 8 de octubre, 10:00 hs (ARG).
> 🎤 Orador: Mikhail Terekhov – Doctoral Student @ EPFL | Scholar @ MATS
> 📖 Título: Control Tax: The Price of Keeping AI in Check
>
> [image: 🌐] [image: 👉] Charla online, Inscripción: Para asistir a la
> charla, por favor indicá tu nombre en el siguiente formulario (No es
> necesario que completes este formulario si ya indicaste "Quiero que me
> avisen por correo electrónico cuando haya nuevas charlas de AISAR" en un
> formulario previo): https://forms.gle/4b3t74DkzYiWkcJZ6
>
> Abstract: The rapid integration of agentic AI into high-stakes real-world
> applications requires robust oversight mechanisms. The emerging field of AI
> Control (AIC) aims to provide such an oversight mechanism, but practical
> adoption depends heavily on implementation overhead. To study this problem
> better, we introduce the notion of Control tax -- the operational and
> financial cost of integrating control measures into AI pipelines. Our work
> makes three key contributions to the field of AIC: (1) we introduce a
> theoretical framework that quantifies the Control Tax and maps classifier
> performance to safety assurances; (2) we conduct comprehensive evaluations
> of state-of-the-art language models in adversarial settings, where attacker
> models insert subtle backdoors into code while monitoring models attempt to
> detect these vulnerabilities; and (3) we provide empirical financial cost
> estimates for control protocols and develop optimized monitoring strategies
> that balance safety and cost-effectiveness while accounting for practical
> constraints like auditing budgets. Our framework enables practitioners to
> make informed decisions by systematically connecting safety guarantees with
> their costs, advancing AIC through principled economic feasibility
> assessment across different deployment contexts.
>
> Encontrá el paper acá: https://arxiv.org/abs/2506.05296
> Equipo AISAR
> http://scholarship.aisafety.ar/
> <http://scholarship.aisafety.ar/?utm_source=chatgpt.com>
>