STO-Activities: (no title)
Activity title:
AI Security and Assurance for Military Systems
Activity Reference:
IST-210
Panel:
IST
Security Classification:
PUBLIC RELEASE
Status:
Planning
Activity type:
RSY
Start date:
2024-09-01T00:00:00Z
Actual End date:
2025-12-01T00:00:00Z
Keywords:
Artificial Intelligence, Assurance, Ethical, Governance, Responsible, Security, Standards
Background:
Artificial Intelligence (AI) technology has emerged as an ongoing international priority for the Alliance in the fight for democracy and economic freedom. Due to its cross-cutting nature, AI will pose a broad set of international security challenges, affecting both traditional military capabilities and the realm of hybrid threats, and will likewise provide new opportunities to respond to them. AI will have an impact on all of NATO’s core tasks of collective defense, crisis management, and cooperative security. With new opportunities, risks, and threats to prosperity and security at stake, the promise and peril associated with this foundational technology are too vast for any single actor to manage alone. As a result, cooperation is inherently needed to equally mitigate international security risks, as well as to capitalize on the technology’s potential to transform enterprise functions, mission support, and operations.
The symposium will broadly focus on AI security and assurance and associated risks stemming from a variety of factors depending on use context, including AI system safety, equity, reliability, interpretability, robustness, privacy, and governability. Also, the symposium will draw on NATO policy experts from the Data and AI Review Board (DARB), ACT and NCIA, and technical experts working on STO AI-related RTG’s and ET’s
Objectives:
The symposium will take the “whole-of-NATO” approach and provide a forum for policy, military, and AI experts to address the social-technical challenges associated with responsible and ethical use of AI, specifically, focusing on technical aspects of AI security and assurance (safety, equitability, reliability, interpretability, robustness, privacy, and governability).
Topics:
Topics include but not limited to:
• AI Assurance / Responsible AI / Trustworthy AI / Safe AI
• AI Ecosystem Security / AI Red Teaming / Adversarial Machine Learning
• AI Equitability / AI Fairness / Privacy Protecting (or Enhancing) AI
• AI Robustness / AI Resiliency
• AI Test & Evaluation Validation & Verification (TEVV)
• AI governance / policy / regulations
• AI Assurance frameworks, standards, terminology, and metrics
• AI Risk and Vulnerability Assessment, including Mitigation
• Ethical and Legal considerations for Responsible AI
Contact:
Open2Partners:
Title:
Created at 10/07/2023 16:00 by System Account
Last modified at 16/05/2024 07:00 by System Account
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