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ለገለልተኛ AI ደህንነት ኦዲት ካሊፎርኒያ SB 813 ከፍ ብሏል።

የካሊፎርኒያ ህግ አውጪዎች SB 813ን አጽድቀዋል፣ ይህም ገለልተኛ ድርጅቶችን በ2028 የድንበር AI ደህንነት ጥያቄዎችን ለማረጋገጥ የግዛት ማዕቀፍ ያቋቁማል ሲል Startup Fortune ዘግቧል።

4 min readRead the linked source
Source-provided image accompanying California advances SB 813 for independent AI safety audits
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አታሚ
startupfortune.com
ምንጭ አገናኝ
startupfortune.comhttps://startupfortune.com/california-passes-sb-813-to-police-ai-audits-after-openais-400000-probe/
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AI ደህንነት
በ AI ሲስተሞች ውስጥ ጎጂ ባህሪያትን፣ ውድቀቶችን እና አላግባብ መጠቀም ስጋቶችን በመቀነስ ላይ ያተኮረ መስክ።
ኤፒአይ (የመተግበሪያ ፕሮግራሚንግ በይነገጽ)
አንድ የሶፍትዌር ስርዓት ከሌላ ስርዓት ጥያቄዎችን ለመላክ እና ምላሽ የሚቀበልበት የተቀናጀ መንገድ።
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የኤአይ ሞዴል ችግርን ወደ መካከለኛ ደረጃዎች የሚያፈርስበት የማመዛዘን ዘይቤ።
እራስህን ፈትን።AI የስነምግባር ጥያቄዎች

ምን ተፈጠረ

Startup Fortune reports that California lawmakers approved SB 813 on August 30, 2026. The bill would direct the Government Operations Agency to begin designating independent verification organizations, or IVOs, with initial framework actions due by January 1, 2028. The source cites a 37-0 Senate concurrence vote and a 53-4 Assembly vote in the state bill record.

Startup Fortune reports that California’s Legislature approved Sen. Jerry McNerney’s SB 813 on August 30, 2026. The article says the state bill record lists a 37-0 Senate concurrence vote and a 53-4 Assembly vote. The source does not independently provide the bill text or confirm that the governor has signed it.

Under the reported framework, California’s Government Operations Agency would designate independent verification organizations, or IVOs, to assess risks posed by AI systems or models and identify the metrics and methods used in those assessments. Startup Fortune says the first framework actions are due by January 1, 2028.

The article describes the bill as sponsored by Fathom and cites a CalMatters Digital Democracy summary of the IVO concept. It also references Fathom’s August 31 statement calling the measure a first-in-the-nation effort. Those descriptions and the bill’s implementation details are attributed to the source and were not independently confirmed here.

Startup Fortune links the timing to reporting about an OpenAI cybersecurity evaluation. It says METR and Redwood Research investigators reviewed more than 70,000 messages and files and about 1,300 transcripts during six days on OpenAI’s premises, using approximately $400,000 in OpenAI API credits. The article attributes those figures to SC Media and The New York Times, and says the investigators described limitations in relying on AI tools to analyze AI behavior. These incident details are not independently confirmed by this evaluation.

የምንጭ ዝርዝሮች: startupfortune.com ↗

ለምን አስፈላጊ ነው።

The proposal addresses a practical weakness in oversight: developers often control the models, data, tools, and access needed to evaluate their own systems. Startup Fortune connects the bill to an investigation into an OpenAI agent incident, but the article’s broader policy significance is independent of that case. Effective oversight will depend on how California defines independence, handles conflicts of interest, and gives auditors sufficient access without making them dependent on the companies they assess.

SB 813 could shift part of assessment from voluntary company disclosures toward a state-recognized external auditing market. That would matter most for systems whose developers make consequential claims about cybersecurity, autonomy, reliability, or misuse risk.

The central policy challenge is independence in practice. An auditor may be formally separate while still relying on a developer for model access, technical infrastructure, proprietary logs, or payment. The source raises this conflict but does not establish how SB 813 would resolve it.

The OpenAI investigation described by Startup Fortune illustrates why access and independence can pull in opposite directions: researchers may need cooperation from the company under review to obtain evidence, while that cooperation can shape the scope and conditions of the review. The article’s account is reported rather than independently verified.

For companies deploying frontier systems, the practical implication is that audit readiness could eventually become a governance requirement in California. The source does not establish which companies or models would be covered, whether audits would be mandatory, or whether noncompliance would carry penalties.

Interactive Mechanism

በይነተገናኝ ሜካኒዝም፡ በትክክል እንዴት እንደሚሰራ

ከዚህ ልማት በስተጀርባ ያለውን ቴክኖሎጂ በይነተገናኝ ያስሱ።

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
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ቀጥሎ ምን እንደሚታይ

The next important steps are whether the bill is signed, how the state defines an independent verification organization, and whether auditors can obtain meaningful access to frontier models and operational records. It is also unclear whether the framework will cover only advanced models or a broader range of AI systems, what audits will cost, and whether findings will be public or enforceable.

The source does not say whether SB 813 has been signed into law, vetoed, or otherwise enacted. That status should be confirmed before treating the framework as operative.

Watch for rules defining IVO eligibility, auditor conflicts, funding arrangements, required technical access, audit frequency, and disclosure of findings.

It remains unknown whether California can create enough qualified auditors to evaluate frontier models independently, particularly when the most capable systems are proprietary and rapidly changing.

The article also leaves open whether the framework will coordinate with federal or other state rules, and whether audit results will affect deployment, liability, procurement, or public reporting.

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የAI ሥነ ምግባርAI ወኪሎችAI ሞዴሎች ተብራርተዋልየሚያውቁትን ይሞክሩ - ነፃ የ AI ጥያቄዎችን ይሞክሩበእኛ የቃላት መፍቻ ውስጥ የ AI ቃልን ይፈልጉየ AI ደንብ መከታተያ ይከተሉ
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