MUTUNGAMIRIRO weSosaiti

NIST AI Risk Management Framework

Iyo NIST AI Risk Management Framework (AI RMF) ibhuku rekuzvidira rehurumende yeUS rekuvaka yakavimbika AI nekuona nekugadzirisa njodzi dzayo muhupenyu hwose.

Overview

Iyo NIST AI Risk Management Framework (AI RMF) ibhuku rekuzvidira rehurumende yeUS rekuvaka yakavimbika AI nekuona nekugadzirisa njodzi dzayo muhupenyu hwose. Izvo zvine basa nekuti zvinopa masangano maitiro anoshanda, anochinjika kuti ashande ane mutoro AI pasina kuve mutemo unosunga.

NIST AI Risk Management Framework ndeyenzvimbo yemagariro uye yehutongi hweAI, uko mutemo, kuzvidavirira, uye kuvimba neveruzhinji zvinoumba maitiro enguva refu.

Deep Dive

Yakaburitswa neUS National Institute of Standards uye Technology muna Ndira 2023, iyo AI RMF 1.0 ndeyekuzvidira uye chikamu-agnostic. Yakarongwa yakatenderedza mabasa mana akakosha: Govern (vaka tsika nemitemo yeAI njodzi), Mepu (nzwisisa mamiriro uye ziva njodzi), yera (ongorora uye kuteedzera njodzi nemametrics), uye Tonga (isa pamberi uye ita panjodzi idzodzo). Iyo dhizaini inotsanangura hunhu hweAI yakavimbika: inoshanda uye yakavimbika, yakachengeteka, yakachengeteka uye yakatsiga, inozvidavirira uye yakajeka, inotsanangurika uye inodudzirwa, kuvanzika-inokwidziridzwa, uye yakaenzana ine inokuvadza yakarerekera. NIST zvakare inoburitsa imwe shamwari Playbook ine kongiri yakakurudzirwa zviito, uye muna 2024 yakawedzera Generative AI Profile inogadzirisa njodzi dzakasiyana nemhando dzemitauro mikuru senge confabulation, kuburitswa kwedata, uye zvinokuvadza zvemukati.

Technical Insight

Kusiyana nerondedzero, iyo RMF inobata kuvimbika seseti yekutengeserana kuti ive pakati, sezvo kunatsiridza imwe pfuma (titi, kurongeka) kunogona kushatisa imwe (inoti, kuvanzika kana kururamisira). The Govern function is cross-cut and feeds vamwe vatatu. Chiyero chinosimbisa kushandisa ese ari maviri ehuwandu metrics uye emhando nzira, kusanganisira tsvuku-teaming uye kuongorora kwevanhu, nekuti kukuvadza kwakawanda kweAI kunoramba kubatwa kwenhamba chete. Migumisiro, kwete maturusi chaiwo, ndizvo zvinotsanangurwa nehurongwa.

Kubata NIST AI Risk Management Framework

Iyo NIST AI Risk Management Framework (AI RMF) ibhuku rekuzvidira rehurumende yeUS rekuvaka yakavimbika AI nekuona nekugadzirisa njodzi dzayo muhupenyu hwose. Izvo zvine basa nekuti zvinopa masangano maitiro anoshanda, anochinjika kuti ashande ane mutoro AI pasina kuve mutemo unosunga. NIST AI Risk Management Framework ndeyenzvimbo yemagariro uye yehutongi hweAI, uko mutemo, kuzvidavirira, uye kuvimba neveruzhinji zvinoumba maitiro enguva refu. Kuti uvake kunzwisisa kwakadzama, bata NIST AI Risk Management Framework semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura zvinogona kuitwa nehurongwa hwakavimbika kubva pane zvichiri kuda kutonga kwenyanzvi.

Mukuita, zvikwata zvakasimba zvinoshandisa NIST AI Risk Management Framework paviri kugona kukura nehutongi, chengetedzo, uye zvakajeka kuzvidavirira zvimiro. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.

Sarudzo dzenzanga dzinosarudza kuti ndiani anobatsirikana uye ndiani ane njodzi. Panguva imwecheteyo, Broad zvichemo zvinogona kutenderera nekukurumidza kupfuura humbowo uye nehungwaru hwekutarisira. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.

Strategic Impact

Sarudzo dzenzanga dzinosarudza kuti ndiani anobatsirikana uye ndiani ane njodzi.

Sarudzo dzenzanga dzinosarudza kuti ndiani anobatsirikana uye ndiani ane njodzi. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Masangano ehurumende, zvikoro, uye mabhizinesi ese anovimba nehutongi hweAI hwakajeka.

Masangano ehurumende, zvikoro, uye mabhizinesi ese anovimba nehutongi hweAI hwakajeka. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Yakanaka dhizaini dhizaini inogona kuvandudza chengetedzo pasina kuvharira hutsva hunobatsira.

Yakanaka dhizaini dhizaini inogona kuvandudza chengetedzo pasina kuvharira hutsva hunobatsira. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.

Ramangwana reNIST AI Risk Management Framework

Tarisira kuti RMF ive yakajairika yereferensi yekutanga iyo inomira kune inosunga hurumende seEU AI Act uye ichiri kubuda yeUS mitemo yenyika, kurerutsira kutevedza kwemasimba mazhinji. NIST inoenderera mberi nekuburitsa maprofile emamwe mamiriro uye matekinoroji, ine generative AI inonyanya kutariswa. Federal procurement uye agency nhungamiro inowedzera kunongedza kuRMF, uye mharadzano kune zviyero zvakaita seISO/IEC 42001 zviri kukura, zvichiita kuti ive yekubatanidza hutongi hweAI yepasi rose kunyangwe ichiramba ichizvidira.

Real-World Implementation

Kambani yetekinoroji inomepu mamiriro eiyo nyowani yekuhaya AI, ichinyora mapoka akakanganisika uye zvinogona kukuvadza pamberi pechero kodhi ngarava, ichizadzisa Mepu basa.

Bhangi rinomisa komiti yekutonga yeAI uye yakanyorwa yenjodzi mitemo yekugutsa iyo Govern basa pamhando dzayo dzese.

Chikwata chinoshandisa red-team uye bias metrics kuyera chatbot yekutadza modes pasi peChiyero basa.

Inishuwarenzi yehutano inoteera iyo Generative AI Profile kugadzirisa kukanganisa uye data-leakage njodzi muLLM yakatarisana nemutengi.

Maitiro Ekuita

NIST AI Risk Management Framework mukuita

Kambani yetekinoroji inomepu mamiriro eiyo nyowani yekuhaya AI, ichinyora mapoka akakanganisika uye zvinogona kukuvadza pamberi pechero kodhi ngarava, ichizadzisa Mepu basa.

Kambani yetekinoroji inomepu mamiriro eiyo nyowani yekuhaya AI, ichinyora mapoka akakanganisika uye zvinogona kukuvadza pamberi pe chero ngarava dzekodhi, kuzadzisa Mepu basa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

NIST AI Risk Management Framework mukuita

Bhangi rinomisa komiti yekutonga yeAI uye yakanyorwa yenjodzi mitemo yekugutsa iyo Govern basa pamhando dzayo dzese.

Bhanga rinomisa komiti yekutonga yeAI uye yakanyorwa yengozi maitirwo ekugutsa iyo Government basa kune ese mamodheru Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.

NIST AI Risk Management Framework mukuita

Chikwata chinoshandisa red-team uye bias metrics kuyera chatbot yekutadza modes pasi peChiyero basa.

Chikwata chinoshandisa dzvuku-team uye bias metrics kuyera chatbot yekutadza modes pasi peMeasure basa Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.

NIST AI Risk Management Framework mukuita

Inishuwarenzi yehutano inoteera iyo Generative AI Profile kugadzirisa kukanganisa uye data-leakage njodzi muLLM yakatarisana nemutengi.

Inishuwarenzi yehutano inoteera iyo Generative AI Profile kugadzirisa kukanganisa uye kuburitswa kwedata mutengi anotarisana neLLM Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emupendero, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye kukanganisa mutengo nekufamba kwenguva.

Njodzi & Guardrails

!

Zvikumbiro zvakakura zvinogona kutenderera nekukurumidza kupfuura humbowo uye nekutarisa.

!

Hutongi husina kusimba hunogona kusiya mikaha yekuzvidavirira kana njodzi yaitika.

!

Simba rinogona kutarisisa kana kuwana, kubuda pachena, uye kuongorora kwakaganhurirwa.

Implementation Roadmap

1

Ziva vanokanganisika vane chekuita uye kukuvadza kunonyanya kukosha.

Ziva vanokanganisika vane chekuita uye kukuvadza kunonyanya kukosha. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

2

Seta pachena zvinodikanwa zve data, modhi, uye sarudzo.

Seta pachena zvinodikanwa zve data, modhi, uye sarudzo. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

3

Wedzera yakazvimirira wongororo kana tsvuku-timu kuyedzwa kune yakanyanya-njodzi masisitimu.

Wedzera yakazvimirira wongororo kana tsvuku-timu kuyedzwa kune yakanyanya-njodzi masisitimu. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

4

Gadziridza mutemo uye zvidzoreso sekugona uye mashandisiro maitiro anoshanduka.

Gadziridza mutemo uye zvidzoreso sekugona uye mashandisiro maitiro anoshanduka. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.

Ramba Uchiongorora