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An approved model does not make an AI system accountable. The consequential behavior emerges from the model's interaction with runtime context, retrieved data, tools, permissions,...
When AI makes a multi-million-rand mistake, the machine won’t take the stand. Its human gatekeepers will. It begins, as these things often do, with a persuasive dashboard and a bo...
As the risks of artificial intelligence continue to mount, the expert analysis in this series engages the fundamental question of what ought to happen when AI risks manifest into r...
Editor’s Note: Regulators moved the deadline. Litigation did not. When the EU AI Act reached general application on Aug. 2, 2026, the record-keeping duties most practitioners assoc...
Agencies and marketers discussed the future of AI governance at AdExchanger's Programmatic IO NYC this week. The main takeaway? Expect insurers to play an increasingly important ro...
Agentic AI governance explained: OpenAI's practices, EU AI Act logging, NIST and IMDA guidance, the audit trail an agent needs, and how to test controls hold.
AI Summary: Accountability for algorithmic rejections defaults to talent acquisition even when decisions are distributed across vendor systems, recruiter trust, and employer thresh...
A licence does not give everyone the same opportunity to learn. Examine paid time, accessible materials, work coverage and real tasks before judging AI capability.
A rule from a 1979 IBM manual still applies to modern automation: computers cannot be accountable, so leaders must own their systems’ choices.
TL;DR: The AI Delegation Audit Webinar RecordingWhen AI-assisted output still looks fine, it is tempting to conclude the delegation is fine. In my October 6 webinar with Scrum.org...
Published by Onrec 06 Oct 2026|AI & AutomationAI governance needs everyday judgement, not just a policy, says SkillsoftSkillsoft’s Greg Fuller calls for role-specific training...
This series aims to set out what a meaningful, multistakeholder, and globally relevant AI accountability mechanism should look like. The post The AI Governance Momentum: Why We Nee...
TL; DR: The AI Delegation Lifecycle Your team ships AI outputs that nobody fully trusts; you needed to be quick, and “dirty” tagged along. Too bad that ungoverned automation become...
In September 2026, Mandiant described a failure in its AI Risk and Resilience report, drawing on data from Google's Threat Intelligence Group. An accounting agent entered a runaway...
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
Can a manager truly own their decisions if these decisions are increasingly influenced by technology, asks Mandy Laurie
Most corporate AI training teaches tool fluency: how to write a prompt, speed up a workflow. It rarely teaches judgment: knowing when to trust AI output, when to check it, and when...
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AI agents explain their own work fluently, and sometimes wrongly. Designers stopped trusting that kind of account from people long ago.Continue reading on UX Collective »
When safety is optional, and capability is urgent, incidents are not accidents. They are what we (consciously or not) designed and built for.AI makes headlines almost every day. An...
Monitoring, Reliability and AI Operations Anonymous (not verified) Wed, 10/14/2026 - 17:44 AIS402 402 AIS AIS402 Monitoring, Reliability and AI...
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