{"id":93733,"topic":"ai","source":"IAPP","title":"The accountability gap in the standard powering enterprise AI agents - IAPP","url":"https://iapp.org/news/a/the-accountability-gap-in-the-standard-powering-enterprise-ai-agents","url_hash":"8106dd733c872a8fe19cb687047518147fbef4d1","author":"","summary":"<a href=\"https://news.google.com/rss/articles/CBMilwFBVV95cUxQOE5mLUlzT193dzkwdllXM0s0U05oYU5tbnU1Um0yQ1lMVFZIYUwwMWFWcFFDcGhKVFFuU3JDYjkzNlZ6UUpNZFRDdGpvUTlocnhxMzhFZ0ZfcVdxWVRlSkxjZmpyZWFHb0o0enlxa0JZQzdaS0JUdzVJNE84YURaRzFBam85Q1JkNEFMTTdVQ3dYWmU2MExZ?oc=5\" target=\"_blank\">The accountability gap in the standard powering enterprise AI agents</a>&nbsp;&nbsp;<font color=\"#6f6f6f\">IAPP</font>","content":"Contributors:\nKapil Duraphe\nSoftware engineer, generative AI\nWRITER\nIf an artificial intelligence agent does something wrong, can the organization find out what it did and who authorized it? Most enterprises assume yes. 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