Author

Ida Mattsson

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#artificial intelligence Preprint Oct 2026

Fundamental Impossibility Results in AI Safety: Trading Off between Desiderata

This work formalizes the interaction between AI systems and users as a game with three players: a defender and an attacker that are computationally or informationally bounded, and an AI that provides public advice and is less constrained.

Ida Mattsson, Ratip Emin Berker, Emanuel Tewolde et al. · 0 citations

Open access Jul 2026

The ethics of AI systems that emulate identifiable individuals: challenges for value aligned development

This work builds on and extends the Beneficent Intelligence (BI) framework from [23] to clarify the mediating role that such AI systems play, how this impacts alignment with the goals of a range of parties, and identify conditions necessary for such systems to confer meaningful benefit.

Ida Mattsson, Mai-Lee Chang, Niloofar Nikookar et al. · AI and Ethics · 0 citations