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¿µ¹®Ç¥Áظí A Method for Evaluating the Reliability of Artificial Intelligence Software Based on the Fidelity of the Validation Dataset – Part 1: Methodology and System
Çѱ۳»¿ë¿ä¾à ÀÌ Ç¥ÁØ¿¡¼­´Â Æò°¡¿ë µ¥ÀÌÅͼ¼Æ®¸¦ ±¸ÃàÇÏ´Â °úÁ¤¿¡¼­, ÀÔ·Â µ¥ÀÌÅÍÀÇ Á¶°Ç¿¡ ºÎÇյǴ µ¥ÀÌÅͼ¼Æ®ÀÇ ºÐÆ÷¸¦ ´Ù¾çÇÏ°í °í¸£°Ô Æí¼ºÇϰí, ÀΰøÁö´É ¸ðµ¨ÀÇ ¼ÒÇÁÆ®¿þ¾îÀÇÀ» Æò°¡ÇÏ´Â ¹æ¹ý ¹× ÀýÂ÷¸¦ Á¤ÀÇÇϸç, ¡®ÀΰøÁö´É ¼ÒÇÁÆ®¿þ¾îÀÇ ½Å·Ú¼º(AI Reliability)¡¯À̶ó´Â ÁöÇ¥¸¦ Á¤ÀÇÇÑ´Ù.
¿µ¹®³»¿ë¿ä¾à In the process of constructing the evaluation dataset, this standard evenly organizes the distribution of the dataset that meets the conditions of the input data, and defines the method and procedure for evaluating the software significance of the artificial intelligence model. It defines an index called 'AI Reliability'.
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