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TII Founding Partner of a New Global Standard for Verifiable, Quantum-Safe Artificial Intelligence

TII ·

The Technology Innovation Institute (TII) is a founding partner of OPAQUE 3.0, a new global standard for verifiable, quantum-safe Artificial Intelligence launched at the Confidential Computing Summit. TII contributed the post-quantum cryptography that secures the standard, enabling organizations to produce cryptographic proof of how their AI systems operate. OPAQUE 3.0 aims to secure AI across its entire lifecycle—from model training to autonomous agents—against future quantum computer threats. Why it matters: This collaboration positions the UAE and TII at the forefront of developing crucial global standards for secure, verifiable, and quantum-resilient AI, aligning with national strategic priorities to safeguard critical data and AI sovereignty.

Governing What the EU AI Act Excludes: Accountability for Autonomous AI Agents in Smart City Critical Infrastructure

arXiv ·

This research paper identifies an accountability deficit for autonomous AI agents operating in smart city critical infrastructure under the EU AI Act, noting that specific provisions exclude safety-component AI from certain explanation rights and impact assessments. It proposes AgentGov-SC, a three-layer governance architecture specifying 25 measures, 5 conflict resolution rules, and an autonomy-calibrated activation model, with bidirectional traceability to established AI frameworks. A scenario analysis traces the governance activation through a multi-agent corridor cascade involving documented UAE smart-city systems. Why it matters: This paper addresses a significant regulatory gap in AI governance for complex, multi-agent systems in critical urban infrastructure, offering a novel architectural solution highly relevant to global smart city initiatives, including those in the Middle East.

It's AI problem now: Why bots attacking their brethren could quickly turn ugly - thenationalnews.com

The National ·

This article discusses the emerging challenge of artificial intelligence systems potentially attacking or exploiting other AI systems. It explores the hypothetical scenarios where autonomous agents could engage in conflict, leading to unpredictable and possibly detrimental outcomes. The piece emphasizes the growing need for robust security measures and ethical guidelines to prevent such 'bot-on-bot' conflicts from escalating. Why it matters: This highlights a critical and evolving challenge in AI safety and governance, underscoring the urgency for the region to contribute to and adopt international best practices in AI ethics and cybersecurity.