Category: Trust, Bias & Fairness

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    AI and MLCybersecurity AITrust, Bias & Fairness

    How to prepare for and remediate an AI system incident

    For all the possibilities AI gives us, there is always a chance of the technology malfunctioning or becoming compromised. In the event of an AI system crisis, new research from ISACA has found that the majority of organisations surveyed couldn’t explain how quickly they could stop an AI system emergency, or even report on what […]

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    AI and MLArtificial IntelligenceDeep DivesFeaturesInside AITrust, Bias & Fairness

    The US-China AI gap closed. The responsible AI gap didn’t

    The assumption that the US holds a durable lead in AI model performance is not well-supported by the data, and that is just one of the uncomfortable findings in Stanford University’s 2026 AI Index Report, published this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual assessment of where […]

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    Agentic AIAI and MLAI Business StrategyAI Market TrendsFinance AITrust, Bias & Fairness

    Mastercard’s AI payment demo points to agent-led commerce

    A recent demonstration from Mastercard suggests that payment systems may be heading toward a future where software agents, not people, complete purchases. During the India AI Impact Summit 2026, Mastercard showed what it described as its first fully authenticated “agentic commerce” transaction. In the demo, as reported by Times of India, an AI agent searched […]

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    AI and MLGovernance, Regulation & PolicyHow It WorksInside AIOpen-Source & Democratised AITrust, Bias & Fairness

    Microsoft unveils method to detect sleeper agent backdoors

    Researchers from Microsoft have unveiled a scanning method to identify poisoned models without knowing the trigger or intended outcome. Organisations integrating open-weight large language models (LLMs) face a specific supply chain vulnerability where distinct memory leaks and internal attention patterns expose hidden threats known as “sleeper agents”. These poisoned models contain backdoors that lie dormant […]

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    AI and MLAI Business StrategyFinance AIGovernance, Regulation & PolicyInterviewsTrust, Bias & Fairness

    Inside Standard Chartered’s approach to running AI under privacy rules

    For banks trying to put AI into real use, the hardest questions often come before any model is trained. Can the data be used at all? Where is it allowed to be stored? Who is responsible once the system goes live? At Standard Chartered, these privacy-driven questions now shape how AI systems are built, and […]

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    Agentic AIAI and MLFounders & VisionariesService Industry AITrust, Bias & FairnessWorld of Work

    AWS’s legacy will be in AI success

    As the company that kick-started the cloud computing revolution, Amazon is one of the world’s biggest companies whose practices in all things technological can be regarded as a blueprint for implementing new technology. This article looks at some of the ways that the company is deploying AI in its operations. Amazon’s latest AI strategy has […]

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