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<blockquote data-quote="Stalker0" data-source="post: 9731856" data-attributes="member: 5889"><p>One of the most interesting shifts in the AI movement is while we are advancing forward....in a weird way we are having to go more old school as well.</p><p></p><p>Because this new technology is different than our typical computer systems. We tend to consider computer based results to be "practically flawless". Any issue is normally a human created bug or the system was down kind of thing. But once we have a system working and providing the expected results, we feel extremely confident that the system will continue to generate those results over and over again.</p><p></p><p>AI in its current form doesn't work that way. Its results can change and be flat out wrong. Its a super smart "person", but it still makes the mistakes a human can.</p><p></p><p>And so from a QA perspective, we have to somewhat think about pre-computer systems where things are run almost entirely by humans. These AI might be super fast humans, but from a QA perspective you have to assume each part of your process can make a mistake....as opposed to modern systems where good computer operations (barring some external change) are assumed to be working correctly.</p></blockquote><p></p>
[QUOTE="Stalker0, post: 9731856, member: 5889"] One of the most interesting shifts in the AI movement is while we are advancing forward....in a weird way we are having to go more old school as well. Because this new technology is different than our typical computer systems. We tend to consider computer based results to be "practically flawless". Any issue is normally a human created bug or the system was down kind of thing. But once we have a system working and providing the expected results, we feel extremely confident that the system will continue to generate those results over and over again. AI in its current form doesn't work that way. Its results can change and be flat out wrong. Its a super smart "person", but it still makes the mistakes a human can. And so from a QA perspective, we have to somewhat think about pre-computer systems where things are run almost entirely by humans. These AI might be super fast humans, but from a QA perspective you have to assume each part of your process can make a mistake....as opposed to modern systems where good computer operations (barring some external change) are assumed to be working correctly. [/QUOTE]
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