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OCDE指标对IA能力的陈述
OECD· 2025-06-03 04:10
Investment Rating - The report does not provide a specific investment rating for the industry Core Insights - The OECD has developed new indicators to assess AI capabilities, aiming to provide policymakers with a factual framework to understand AI's capabilities and compare them to human skills [37][41] - The indicators cover a range of human abilities, including language, social interactions, problem-solving, creativity, metacognition, knowledge, learning, memory, vision, manipulation, and robotic intelligence, presented on a five-level scale [38][41] - The report emphasizes the need for a systematic measurement framework for AI capabilities and their implications for society, work, and education [72][74] Summary by Sections Overview of Current AI Capabilities - The chapter provides an overview of AI performance based on OECD indicators, including a comparative table that describes the capabilities of advanced AI systems as of November 2024 [44][45] - The table categorizes AI systems into levels, detailing the types of capabilities they possess and the reasoning behind their classification [45][46] Designing a Measurement Framework for AI Capabilities - The OECD's project on AI and future skills presents a systematic measurement framework for AI and robotics capabilities, comparing them to human skills [72][73] - The methodology aims to provide clear, evidence-based insights into AI developments and their societal impacts [72][73] OECD Indicators on AI Capabilities - The indicators are structured around nine human abilities, with each ability assessed on a five-level scale, reflecting the progression of AI capabilities towards human equivalence [38][41] - Current AI systems are generally classified between levels 2 and 3 across various scales, indicating ongoing challenges in achieving full human-like capabilities [41][50] Examples of Using AI Capability Indicators by Public Authorities - The indicators can facilitate discussions on the transformative impacts of AI in various sectors, including education, employment, and civic participation [18][19] - They provide a framework for evaluating how AI can complement or replace human tasks, influencing future educational curricula and workforce development [18][19]