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Tehisintellekti hindamine suure panusega tööks
Kuidas meeskonnad saavad rakendada ühtset raamistikku tehisintellekti väljundite hindamiseks
Mida juhend sisaldab
Mõistke, miks usaldamatus pidurdab kasutuselevõttu
Saage aru, miks täpsus on tehisintellekti investeeringute suurim takistus ning miks finants-, juriidilised ja uurimismeeskonnad vajavad viisi tehisintellekti töö kontrollimiseks enne, kui see otsuseid kujundab.
Rakendage põhjalikuks kontrolliks loodud raamistikku
Kasutage kolme sammast – täpsust, läbipaistvust ja järelevalvet –, et hinnata, kas vastus vastab faktidele, näitab oma allikaid ja läbib inimlabori või -ülevaatuse enne arvesse võtmist.
Tehke kindlaks riskiga seotud töövood
Tehke kindlaks, kus asub vastutus alates investeerimismemorodest ja lepingute kokkuvõtetest kuni turuanalüüsideni, ning seadke kohustuslikule tööle õiged kontrollpunktid.
Alustage tööst, mida tasub automatiseerida
Alustage ülesannetest, mida ikka reedele lükatakse (hoolsuskohustuse jälgijad, lepingute võrdlused ja uurimiskokkuvõtted), ning võrrelge tehisintellekti väljundit näitega, mida meeskond juba usaldab.
Kokkuvõte
Töö, mis kujundab olulisi otsuseid, on alati pidanud vastu pidama juhtide, investorite, audiitorite ja juriidiliste arvustajate kontrollile. Tehisintellekt tõstab panuseid, sünteesides korraga vastuseid paljudest allikatest.
See aruanne annab meeskonnad raamistiku tehisintellekti väljundi usaldamiseks kolme samba kaudu: täpsus, läbipaistvus ja järelevalve. Meeskonnad õpivad kontrollima, et vastus vastab aluseks olevatele faktidele, jälgima iga väidet tagasi kontrollitava allikani ja määrama selge punkti, kus inimene annab heakskiidu enne, kui töö annab aluse otsusele, lepingule või avaldusele. Kiirem väljund peab siiski läbima sama kontrolli ja see juhend näitab, kuidas seda taset hoida.