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Rahul Agarwal
Founder | Agentic AI... • 4m
Enough talking about the benefits of AI. But when all does AI go wrong? Let’s take a look at some of the key ways AI can fail: 1️⃣ 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀 • 𝗠𝗮𝗸𝗲𝘀 𝘂𝗽 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 confidently. • Focuses on the 𝘄𝗿𝗼𝗻𝗴 𝘁𝗮𝘀𝗸. • 𝗥𝗲𝗽𝗲𝗮𝘁𝘀 without progress. • 𝗔𝗰𝘁𝘀 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁 but is 𝘄𝗿𝗼𝗻𝗴. • 𝗠𝗶𝘀𝘂𝘀𝗲𝘀 tools. 2️⃣ 𝗦𝘆𝘀𝘁𝗲𝗺 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀 • 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗰𝗹𝗮𝘀𝗵 with each other. • 𝗙𝗼𝗿𝗴𝗲𝘁𝘀 𝗶𝗻𝗳𝗼 after long conversations. • 𝗙𝗿𝗲𝗲𝘇𝗲𝘀 𝗼𝗿 𝘀𝗹𝗼𝘄𝘀 𝗱𝗼𝘄𝗻. • 𝗠𝗶𝘀𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝘀 requests. 3️⃣ 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀 • 𝗙𝗼𝗿𝗴𝗲𝘁𝘀 details. • 𝗪𝗼𝗻’𝘁 𝗲𝘀𝗰𝗮𝗹𝗮𝘁𝗲 to a human. • 𝗚𝗲𝘁𝘀 𝘁𝗿𝗶𝗰𝗸𝗲𝗱 by hidden commands. 4️⃣ 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀 • 𝗖𝗿𝗮𝘀𝗵𝗲𝘀 when connected to real systems. • 𝗪𝗿𝗼𝗻𝗴 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀 cause breakdowns. • 𝗡𝗲𝘄 𝗔𝗜 doesn’t work with older systems. • 𝗘𝘅𝗽𝗼𝘀𝗲𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗳𝗹𝗮𝘄𝘀 let hackers in. These are common failures in AI systems, affecting how they interact, think, and function in real-world applications. Would you like to add any? Be careful of these issues by recognizing the limitations of AI. ✅ Repost for others in your network who can benefit from this.
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