𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗡𝗲𝘄 𝗧𝗼𝗼𝗹 𝘁𝗼 𝗖𝗼𝗿𝗿𝗲𝗰𝘁 𝗔𝗜 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀: 𝗔 𝗥𝗲𝗮𝗹 𝗙𝗶𝘅 𝗼𝗿 𝗠𝗼𝗿𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆?

Microsoft’s new 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐨𝐧 service attempts to address AI hallucinations by using 𝐬𝐦𝐚𝐥𝐥 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 (𝐒𝐋𝐌𝐬) alongside larger ones to ensure that AI-generated content aligns with verified sources. (𝐼 𝑚𝑒𝑎𝑛 𝑡ℎ𝑜𝑠𝑒 𝑜𝑓 𝑢𝑠 𝑎𝑙𝑟𝑒𝑎𝑑𝑦 𝑑𝑜𝑖𝑛𝑔 𝑡ℎ𝑖𝑠, 𝑐𝑎𝑙𝑙 𝑡ℎ𝑖𝑠 𝐴𝐼 𝐶ℎ𝑎𝑖𝑛𝑖𝑛𝑔 𝑜𝑟 𝑀𝑜𝑑𝑒𝑙 𝐶ℎ𝑎𝑖𝑛𝑖𝑛𝑔) But hey Microsoft does what they do 😅

Microsoft Research states that 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐨𝐧 flags potentially inaccurate content, cross-references it with grounding documents, and then rewrites the problematic sections.

This might seem like a step toward fixing the 𝐢𝐧𝐟𝐚𝐦𝐨𝐮𝐬 𝐀𝐈 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧 𝐢𝐬𝐬𝐮𝐞, but experts remain cautious. AI models don’t “know” anything, they predict patterns based on training data. 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐨𝐧 may help reduce obvious errors, but it’s not solving the underlying issue: AI’s inherent tendency to hallucinate. As one expert noted, “𝐓𝐫𝐲𝐢𝐧𝐠 𝐭𝐨 𝐞𝐥𝐢𝐦𝐢𝐧𝐚𝐭𝐞 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐫𝐨𝐦 𝐀𝐈 𝐢𝐬 𝐥𝐢𝐤𝐞 𝐭𝐫𝐲𝐢𝐧𝐠 𝐭𝐨 𝐞𝐥𝐢𝐦𝐢𝐧𝐚𝐭𝐞 𝐡𝐲𝐝𝐫𝐨𝐠𝐞𝐧 𝐟𝐫𝐨𝐦 𝐰𝐚𝐭𝐞𝐫.”

Even if 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐨𝐧 takes AI accuracy from 90% to 99%, the real challenge is in that 1% of undetected errors. 𝐖𝐨𝐫𝐬𝐞, 𝐭𝐡𝐞 “𝐟𝐢𝐱” 𝐦𝐢𝐠𝐡𝐭 𝐠𝐢𝐯𝐞 𝐮𝐬𝐞𝐫𝐬 𝐚 𝐟𝐚𝐥𝐬𝐞 𝐬𝐞𝐧𝐬𝐞 𝐨𝐟 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐦𝐚𝐤𝐢𝐧𝐠 𝐭𝐡𝐞𝐦 𝐭𝐡𝐢𝐧𝐤 𝐭𝐡𝐞 𝐀𝐈 𝐢𝐬 𝐦𝐨𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐭𝐡𝐚𝐧 𝐢𝐭 𝐫𝐞𝐚𝐥𝐥𝐲 𝐢𝐬.

Then there’s the business angle: Correction is free only for limited use, but beyond 5,000 text records, it comes at a cost. With businesses increasingly concerned about AI accuracy, this adds more complexity, and yet again another layer of unknown cost to the bottom line.

🔗 Link: To information on this in the comments below 👇

#ai #genai #mindsetchange #Innovation

InsightJam.com PEX Network Gartner Peer Experiences Theia Institute VOCAL Council

𝗡𝗼𝘁𝗶𝗰𝗲: The views within any of my posts, or newsletters are not those of my employer or the employers of any contributing experts. 𝗟𝗶𝗸𝗲 👍 this? feel free to reshare, repost, and join the conversation.