Now showing items 91-93 of 55077

    • The Reality of AI and Biorisk 

      Peppin, Aidan; Reuel, Anka; Casper, Stephen; Jones, Elliot; Strait, Andrew; e.a. (ACM|The 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025-06-23)
      To accurately and confidently answer the question “could an AI model or system increase biorisk”, it is necessary to have both a sound theoretical threat model for how AI models or systems could increase biorisk and a ...
    • SoS Certifiability of Subgaussian Distributions and Its Algorithmic Applications 

      Diakonikolas, Ilias; Hopkins, Samuel; Pensia, Ankit; Tiegel, Stefan (ACM|Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025-06-15)
      We prove that there is a universal constant C>0 so that for every d ∈ ℕ, every centered subgaussian distribution D on ℝd, and every even p ∈ ℕ, the d-variate polynomial (Cp)p/2 · ||v||2p − EX ∼ D ⟨ v,X⟩p is a sum of square ...
    • Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders 

      Konya, Andrew; Thorburn, Luke; Almasri, Wasim; Leshem, Oded Adomi; Procaccia, Ariel; e.a. (ACM|The 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025-06-23)
      A growing body of work has shown that AI-assisted methods — leveraging large language models, social choice methods, and collective dialogues — can help navigate polarization and surface common ground in controlled lab ...