What Could Go Wrong? Designing AI with Risk in Mind
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What Could Go Wrong? Designing AI with Risk in Mind
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Risk isn’t just something to manage—it’s something we need to design for.
In this episode, we explore how to think about risk in AI and automation, referencing tools like the National Institute for Standards' Risk Management Framework and its accompanying playbook, as well as the UK Information Commissioner's Office’s Checklist for common risk scenarios. From frameworks to practical checklists, we’ll discuss how identifying and addressing risks can help us create more reliable, responsible AI systems.
LINKS
National Institute of Standards & Technology - AI Risk Management Playbook
Information Commissioner's Office - AI and data protection risk toolkit
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