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DTSTART;TZID=America/Chicago:20261007T180000
DTEND;TZID=America/Chicago:20261007T193000
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SUMMARY:AI Risk Management Framework and Crop Classification
DESCRIPTION:This week we have two topics to cover from very different areas of AI. I will cover a traditional ML approach that I’m using for a “Current Season Crop Classifier”. Josh will cover the NIST AI Risk Management Framework. \nFor the crop classifier\, we’ll talk about the technical aspects of collecting the training and evaluation data – as well as this new world of telling Claude what I want. And then trying to figure out what to do with the >30k SLOC that resulted. \nFrom Josh: \nAs AI systems move into real products and programs\, “how do we know it works?” is now a question that needs a documented answer. In this session\, we’ll look at the NIST AI Risk Management Framework (AI RMF 1.0). We’ll cover what it is\, who it’s for\, and how its four functions (Govern\, Map\, Measure\, and Manage) fit together to manage AI risk. \nThen we’ll take a closer look at Test\, Evaluation\, Verification\, and Validation (TEVV). We’ll cover what each of those terms means\, where TEVV fits in the AI lifecycle\, and what a TEVV report should capture about how an AI system was tested and what the results mean. \nLinks: \n\n\nNIST AI RMF 1.0 (PDF): The primary publication (NIST AI 100-1). \n\nNIST AI RMF Playbook: The companion guide with actionable\, step-by-step guidance.\n\nNIST AI 600-1 Profile for Generative AI (PDF): The specific cross-sectoral profile covering risks like confabulations and bias in Generative AI. \n\n\nThe best way to park and get to the Deloitte office is via the large parking lot on the west side of the building (across from Food City). You can enter the building from that side and head upstairs to the 2nd floor. The address is below in the details list.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDetails: \n\nDate – 10/07/2026\nTime – 6:00 – 7:30 pm\nDeloitte\, Singing River Conference Room\nAddress – 3414 Governors Dr SW STE 220\, Huntsville\, AL 35805\nGoogle Meet – https://meet.google.com/ipx-onyn-zhi
URL:https://www.hsv.ai/event/ai-risk-management-framework-and-crop-classification/
LOCATION:Deloitte\, 3414 Governors Dr SW STE 220\, Huntsville\, AL\, 35805
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DTSTART;TZID=America/Chicago:20261014T180000
DTEND;TZID=America/Chicago:20261014T193000
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CREATED:20261012T042243Z
LAST-MODIFIED:20261012T042243Z
UID:2295-1792000800-1792006200@www.hsv.ai
SUMMARY:Virtual Paper Review - What Work Can Robots Do?
DESCRIPTION:This week we will meet virtually to cover a recent paper/post from Anthropic – “What Work Can Robots Do?”. This takes a similar approach to other AI vs Workforce papers from Microsoft\, OpenAI\, and Anthropic that we have covered in the past. \nSince it also provides a dataset based on the O*Net job classification from the US Department of Labor\, we will cross reference the findings from Anthropic with demographic data for the Huntsville Metropolitan Statistical Area. \nLinks: \n\nWhat Work Can Robots Do? – https://www.anthropic.com/research/what-work-can-robots-do\nRelated Datasets – https://huggingface.co/datasets/Anthropic/EconomicIndex\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDetails: \n\nDate – 10/14/2026\nTime – 6:00 – 7:30 pm\nGoogle Meet – https://meet.google.com/ien-mfww-uhx
URL:https://www.hsv.ai/event/virtual-paper-review-what-work-can-robots-do/
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