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UID:pretalx-ethereum-zurich-2026-W7B3GA@cfp.ducttape.events
DTSTART;TZID=CET:20260410T133000
DTEND;TZID=CET:20260410T135000
DESCRIPTION:Decentralized Physical AI systems—where autonomous agents int
 eract with the physical world while relying on decentralized coordination 
 layers—create legal frictions that traditional AI governance frameworks 
 do not fully capture. This talk isolates two structural challenges. First\
 , the lack of legal personality: in fully decentralized settings\, it may 
 be difficult to identify a legally recognized counterpart able to enter bi
 nding contracts\, hold assets\, or be sued. Second\, the liability gap: as
  autonomy and decentralization increase\, attribution of harm becomes hard
 er\, pushing legal systems toward “scapegoat” solutions (human-in-the-
 loop or proxy actors) not because they are operationally necessary\, but b
 ecause they are liable.\n\nBuilding on EU liability discussions and the li
 mits of “human-centric” approaches\, the session proposes reframing de
 centralized AI as infrastructure rather than a firm-like actor. Under this
  perspective\, risk management shifts from searching for an elusive develo
 per/owner to a layered model combining ex-ante protocol authorization\, ma
 ndatory insurance mechanisms\, and public authorization labels to support 
 trust and market discipline. The outcome is a concrete\, regulatory bluepr
 int aimed at reducing uncertainty without freezing innovation.
DTSTAMP:20261013T182938Z
LOCATION:Glatt (Y22-F-68/70)
SUMMARY:Interactions with Physical AI: legal challenges and the “Infrastr
 ucture” Regulatory Model - Salvatore Luciano Furnari
URL:https://cfp.ducttape.events/ethereum-zurich-2026/talk/W7B3GA/
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