{"id":10131,"date":"2024-02-16T19:38:03","date_gmt":"2024-02-16T19:38:03","guid":{"rendered":"https:\/\/dailyai.com\/?p=10131"},"modified":"2024-02-17T22:23:22","modified_gmt":"2024-02-17T22:23:22","slug":"is-regulating-hardware-the-answer-to-ai-safety-these-experts-think-so","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/02\/is-regulating-hardware-the-answer-to-ai-safety-these-experts-think-so\/","title":{"rendered":"Er regulering af hardware svaret p\u00e5 AI-sikkerhed? Det mener disse eksperter"},"content":{"rendered":"

Eksperter foresl\u00e5r, at den mest effektive m\u00e5de at sikre AI-sikkerhed p\u00e5 kan v\u00e6re at regulere dens \"hardware\" - de chips og datacentre, eller \"compute\", der driver AI-teknologier.\u00a0<\/b><\/p>\n

Rapporten, som er et samarbejde mellem bem\u00e6rkelsesv\u00e6rdige institutioner, herunder Center of AI Safety (CAIS), University of Cambridge's Leverhulme Centre for the Future of Intelligence og OpenAI, foresl\u00e5r et globalt register til at spore AI-chips og fasts\u00e6tte \"compute caps\" for at holde F&U afbalanceret p\u00e5 tv\u00e6rs af forskellige nationer og virksomheder.\u00a0<\/span><\/p>\n

Denne nye hardwarecentrerede tilgang kan v\u00e6re effektiv p\u00e5 grund af den fysiske karakter af chips og datacentre, hvilket g\u00f8r dem lettere at regulere end uh\u00e5ndgribelige data og algoritmer.\u00a0<\/span><\/p>\n

Haydn Belfield, en af hovedforfatterne fra University of Cambridge, forklarer computerkraftens rolle i AI R&D og siger: \"AI-supercomputere best\u00e5r af titusinder af netv\u00e6rksforbundne AI-chips ... der bruger dusinvis af megawatt str\u00f8m.\"<\/span><\/p>\n

Den <\/span>Rapport<\/span><\/a>med i alt 19 forfattere, herunder \"AI-gudfaderen\" Yoshio Bengio, fremh\u00e6ver den kolossale v\u00e6kst i computerkraft, som AI kr\u00e6ver, og bem\u00e6rker, at de st\u00f8rste modeller nu kr\u00e6ver 350 millioner gange mere computerkraft, end de gjorde for 13 \u00e5r siden.\u00a0<\/span><\/p>\n

Forfatterne h\u00e6vder, at den eksponentielle stigning i eftersp\u00f8rgslen p\u00e5 AI-hardware giver mulighed for at forhindre centralisering og AI i at komme ud af kontrol. I betragtning af sindssygt str\u00f8mforbrug i nogle datacentre<\/a>Det kan ogs\u00e5 reducere AI's voksende indflydelse p\u00e5 energinettene.\u00a0<\/span><\/p>\n

At drage paralleller til nuklear regulering, som andre, herunder OpenAI's CEO Sam Altman, <\/span>har brugt som eksempel p\u00e5 regulering af AI<\/span><\/a>Rapporten foresl\u00e5r politikker, der skal \u00f8ge den globale synlighed af AI-computing, fordele computerressourcer til gavn for samfundet og h\u00e5ndh\u00e6ve restriktioner p\u00e5 computerkraft for at mindske risici.<\/span><\/p>\n

Professor Diane Coyle, en anden medforfatter, p\u00e5peger fordelene ved hardwareoverv\u00e5gning for at opretholde et konkurrencedygtigt marked, at sige<\/a>\"Overv\u00e5gning af hardware vil i h\u00f8j grad hj\u00e6lpe konkurrencemyndighederne med at holde styr p\u00e5 de st\u00f8rste teknologivirksomheders markedsstyrke og dermed \u00e5bne op for mere innovation og nye akt\u00f8rer.<\/span><\/p>\n

Belfield indkapsler rapportens hovedbudskab: \"At fors\u00f8ge at regulere AI-modeller, n\u00e5r de implementeres, kan vise sig at v\u00e6re nyttel\u00f8st, som at jage skygger. De, der s\u00f8ger at etablere AI-regulering, b\u00f8r se opstr\u00f8ms til computere, kilden til den kraft, der driver AI-revolutionen.\"<\/span><\/p>\n

Multilaterale aftaler som denne kr\u00e6ver et globalt samarbejde, som for atomkraftens vedkommende blev skabt gennem store katastrofer.\u00a0<\/span><\/p>\n

En r\u00e6kke h\u00e6ndelser f\u00f8rte til oprettelsen af Det Internationale Atomenergiagentur (IAEA) i 1957. Derefter var der nogle f\u00e5 problemer indtil Chornobyl.\u00a0<\/span><\/p>\n

Nu kan det tage ti \u00e5r eller l\u00e6ngere at planl\u00e6gge, godkende og bygge en atomreaktor, fordi processen overv\u00e5ges n\u00f8je ved hvert eneste punkt. Hver eneste del bliver gransket, fordi nationerne i f\u00e6llesskab forst\u00e5r risiciene, b\u00e5de individuelt og kollektivt.\u00a0<\/span><\/p>\n

Har vi m\u00e5ske ogs\u00e5 brug for en betydelig katastrofe for at g\u00f8re AI-sikkerhedstanker til virkelighed?<\/span><\/p>\n

Hvad ang\u00e5r regulering af hardware, hvem skal s\u00e5 lede et centralt agentur, der begr\u00e6nser udbuddet af chips? Hvem skal give mandat til aftalen, og kan den h\u00e5ndh\u00e6ves? <\/span><\/p>\n

Og hvordan forhindrer man dem med de st\u00e6rkeste forsyningsk\u00e6der i at drage fordel af restriktioner for deres konkurrenter?<\/span><\/p>\n

Hvad med Rusland, Kina og Mellem\u00f8sten?<\/p>\n

Det er nemt at begr\u00e6nse udbuddet af chips, n\u00e5r Kina er afh\u00e6ngig af amerikanske producenter som Nvidia, men s\u00e5dan vil det ikke altid v\u00e6re. Kina sigter mod at v\u00e6re selvforsynende med hensyn til AI-hardware<\/a> i dette \u00e5rti.<\/p>\n

Den mere end 100 sider lange rapport giver nogle spor, og det virker som en vej, der er v\u00e6rd at udforske.<\/span> Det vil kr\u00e6ve mere end overbevisende argumenter at gennemf\u00f8re en s\u00e5dan plan.<\/p>","protected":false},"excerpt":{"rendered":"

Eksperter foresl\u00e5r, at den mest effektive m\u00e5de at sikre AI-sikkerhed p\u00e5 kan v\u00e6re at regulere dens \"hardware\" - de chips og datacentre, eller \"compute\", der driver AI-teknologier. Rapporten, som er et samarbejde mellem kendte institutioner, herunder Center of AI Safety (CAIS), University of Cambridge's Leverhulme Centre for the Future of Intelligence og OpenAI, foresl\u00e5r et globalt register til at spore AI-chips og fasts\u00e6tte \"compute caps\" for at holde F&U afbalanceret p\u00e5 tv\u00e6rs af forskellige nationer og virksomheder. Denne nye hardwarecentrerede tilgang kan v\u00e6re effektiv p\u00e5 grund af den fysiske karakter af chips og datacentre, hvilket g\u00f8r dem mere anvendelige at regulere end<\/p>","protected":false},"author":2,"featured_media":10132,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[92],"class_list":["post-10131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-policy","tag-regulation"],"yoast_head":"\nIs regulating hardware the answer to AI safety? 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