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DTSTART;TZID=America/Chicago:20261021T100000
DTEND;TZID=America/Chicago:20261021T120000
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SUMMARY:Trust but Verify: Using AI for Small-Business Research
DESCRIPTION:In this interactive workshop\, we'll explore how AI can support business research\, learning\, and problem-solving while also examining the limitations\, assumptions\, and risks that come with AI-generated information. Participants will practice evaluating outputs\, identifying red flags\, validating claims\, and determining what makes AI-generated research genuinely useful in a real-world business context. Throughout the session\, we will: Explore a practical framework for assessing whether an AI-generated output is credible\, useful\, and appropriate for business decision-making. Compare traditional business research methods with AI-assisted research to better understand the strengths\, gaps\, assumptions\, and tradeoffs of each approach. Learn how AI can help entrepreneurs quickly understand unfamiliar concepts\, current events\, technical topics\, regulations\, and business terminology   especially when they need a fast starting point for learning. Examine high-profile AI failures and breakdowns to better understand how hallucinations\, weak sourcing\, bias\, flawed assumptions\, and automation errors occur. Practice reviewing sample AI outputs to identify unsupported claims\, vague sourcing\, misleading statistics\, overgeneralizations\, and hidden assumptions. Learn lateral reading and research validation techniques to fact-check AI-generated information and trace claims back to credible sources. Discuss when AI is an appropriate tool for a business problem   and when another approach may be more effective. Apply these concepts to realistic business examples and a possible photography-industry case study focused on market research and decision-making. Rather than treating AI as a replacement for expertise\, this session focuses on how entrepreneurs can use AI thoughtfully as a research assistant\, brainstorming partner\, and learning tool while remaining the decision-maker and "human in the loop."
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE html><html><head><title></title></head><body aria-disabled="false"><p><span style="font-size: 14px\;">In this interactive workshop\, we&rsquo\;ll explore how AI can support business research\, learning\, and problem-solving while also examining the limitations\, assumptions\, and risks that come with AI-generated information. Participants will practice evaluating outputs\, identifying red flags\, validating claims\, and determining what makes AI-generated research genuinely useful in a real-world business context.&nbsp\;</span></p><p><span style="font-size: 14px\;">Throughout the session\, we will:&nbsp\;</span></p><ul fr-original-style="" style="list-style-position: inside\;"><li><span style="font-size: 14px\;">Explore a practical framework for assessing whether an AI-generated output is credible\, useful\, and appropriate for business decision-making.&nbsp\;</span></li><li><span style="font-size: 14px\;">Compare traditional business research methods with AI-assisted research to better understand the strengths\, gaps\, assumptions\, and tradeoffs of each approach.&nbsp\;</span></li><li><span style="font-size: 14px\;">Learn how AI can help entrepreneurs quickly understand unfamiliar concepts\, current events\, technical topics\, regulations\, and business terminology &mdash\; especially when they need a fast starting point for learning.&nbsp\;</span></li><li><span style="font-size: 14px\;">Examine high-profile AI failures and breakdowns to better understand how hallucinations\, weak sourcing\, bias\, flawed assumptions\, and automation errors occur.&nbsp\;</span></li><li><span style="font-size: 14px\;">Practice reviewing sample AI outputs to identify unsupported claims\, vague sourcing\, misleading statistics\, overgeneralizations\, and hidden assumptions.&nbsp\;</span></li><li><span style="font-size: 14px\;">Learn lateral reading and research validation techniques to fact-check AI-generated information and trace claims back to credible sources.&nbsp\;</span></li><li><span style="font-size: 14px\;">Discuss when AI is an appropriate tool for a business problem &mdash\; and when another approach may be more effective.&nbsp\;</span></li><li><span style="font-size: 14px\;">Apply these concepts to realistic business examples and a possible photography-industry case study focused on market research and decision-making.&nbsp\;</span></li></ul><p><span style="font-size: 14px\;">Rather than treating AI as a replacement for expertise\, this session focuses on how entrepreneurs can use AI thoughtfully as a research assistant\, brainstorming partner\, and learning tool while remaining the decision-maker and &ldquo\;human in the loop.&rdquo\;&nbsp\;</span></p></body></html>
LOCATION:
UID:e.4720.1619155
SEQUENCE:3
DTSTAMP:20260831T221722Z
URL:https://greatermadisonchamberofcommercewi.growthzoneapp.com/chamber-events/Details/trust-but-verify-using-ai-for-small-business-research-1903983?sourceTypeId=Hub
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