AI governance using tamper proof model metrics

One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bhide, Manish Anand, Chamarthy, Ravi Chandra, Suryanarayanan, Arunkumar Kalpathi
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Bhide, Manish Anand
Chamarthy, Ravi Chandra
Suryanarayanan, Arunkumar Kalpathi
description One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US11829455B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US11829455B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US11829455B23</originalsourceid><addsrcrecordid>eNrjZNBz9FRIzy9LLcpLzEtOVSgtzsxLVyhJzC1ILVIoKMrPT1PIzU9JzVHITS0pykwu5mFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8aHBhoYWRpYmpqZORsbEqAEA6Yoqng</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>AI governance using tamper proof model metrics</title><source>esp@cenet</source><creator>Bhide, Manish Anand ; Chamarthy, Ravi Chandra ; Suryanarayanan, Arunkumar Kalpathi</creator><creatorcontrib>Bhide, Manish Anand ; Chamarthy, Ravi Chandra ; Suryanarayanan, Arunkumar Kalpathi</creatorcontrib><description>One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231128&amp;DB=EPODOC&amp;CC=US&amp;NR=11829455B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231128&amp;DB=EPODOC&amp;CC=US&amp;NR=11829455B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Bhide, Manish Anand</creatorcontrib><creatorcontrib>Chamarthy, Ravi Chandra</creatorcontrib><creatorcontrib>Suryanarayanan, Arunkumar Kalpathi</creatorcontrib><title>AI governance using tamper proof model metrics</title><description>One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNBz9FRIzy9LLcpLzEtOVSgtzsxLVyhJzC1ILVIoKMrPT1PIzU9JzVHITS0pykwu5mFgTUvMKU7lhdLcDIpuriHOHrqpBfnxqcUFicmpeakl8aHBhoYWRpYmpqZORsbEqAEA6Yoqng</recordid><startdate>20231128</startdate><enddate>20231128</enddate><creator>Bhide, Manish Anand</creator><creator>Chamarthy, Ravi Chandra</creator><creator>Suryanarayanan, Arunkumar Kalpathi</creator><scope>EVB</scope></search><sort><creationdate>20231128</creationdate><title>AI governance using tamper proof model metrics</title><author>Bhide, Manish Anand ; Chamarthy, Ravi Chandra ; Suryanarayanan, Arunkumar Kalpathi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US11829455B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Bhide, Manish Anand</creatorcontrib><creatorcontrib>Chamarthy, Ravi Chandra</creatorcontrib><creatorcontrib>Suryanarayanan, Arunkumar Kalpathi</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bhide, Manish Anand</au><au>Chamarthy, Ravi Chandra</au><au>Suryanarayanan, Arunkumar Kalpathi</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AI governance using tamper proof model metrics</title><date>2023-11-28</date><risdate>2023</risdate><abstract>One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US11829455B2
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title AI governance using tamper proof model metrics
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T09%3A07%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Bhide,%20Manish%20Anand&rft.date=2023-11-28&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS11829455B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true