---
id: "papers-keri-last-best-hope-ai-world"
type: "talk"
type_label: "Talks and presentations"
title: "KERI: The last best hope for individual-controlled digital ID in an AI world"
maintainer: "Samuel M. Smith (KERI Foundation)"
authors:
  - "Samuel M. Smith (KERI Foundation)"
date: "2026-06"
year: 2026
reading_level: "intro"
reading_level_label: "Introductory"
reading_level_meaning: "no prior knowledge of the suite"
evidence: "informative"
evidence_meaning: "an author's paper, deck, tutorial or post explaining the suite"
status: "active"
status_meaning: "changed within the last six months, or a live service"
access: "public"
access_meaning: "anyone with the link"
topics:
  - "policy"
  - "governance"
  - "deployments"
roles:
  - "product"
  - "standards-policy"
  - "communications"
  - "investor"
  - "business-development"
source_url: "https://github.com/SmithSamuelM/Papers/blob/master/presentations/KERI_AI_Cyber_2026.pdf"
source_license: null
source_license_note: null
found_on: "smith-papers"
kerisse_credit: false
abstract_license: "CC BY 4.0"
abstract_license_url: "https://creativecommons.org/licenses/by/4.0/"
abstract_attribution: "KSKB, the KERISuite Knowledge Base (https://kskb.dev/)"
last_checked: "2026-10-15"
kskb_url: "https://kskb.dev/cards/papers-keri-last-best-hope-ai-world/"
kskb_app_url: "https://kskb.dev/#item/papers-keri-last-best-hope-ai-world"
kskb_record_url: "https://kskb.dev/data/kskb/resources/papers-keri-last-best-hope-ai-world"
kskb_markdown_url: "https://kskb.dev/export/cards/papers-keri-last-best-hope-ai-world.md"
---

# KERI: The last best hope for individual-controlled digital ID in an AI world

A 26-slide deck by Samuel M. Smith of the KERI Foundation, from 2026, framed by a Five Eyes cybersecurity agencies' statement on frontier AI. It contrasts AI-based, tracking-derived digital identity with Key Event Receipt Infrastructure (KERI) based identity and poses discussion questions on human authority over AI, identity, resilience after breach, privacy and deployment speed, for a general and policy audience.

Labels: reading level Introductory; evidence informative (an author's paper, deck, tutorial or post explaining the suite).
Source: https://github.com/SmithSamuelM/Papers/blob/master/presentations/KERI_AI_Cyber_2026.pdf (license not recorded).
The abstract is KSKB's own text under Creative Commons Attribution 4.0 (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/; credit KSKB, the KERISuite Knowledge Base (https://kskb.dev/).