Artificial Intelligence Index Report 2023
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Abstract (arXiv)
Welcome to the sixth edition of the AI Index Report. This year, the report introduces more original data than any previous edition, including a new chapter on AI public opinion, a more thorough technical performance chapter, original analysis about large language and multimodal models, detailed trends in global AI legislation records, a study of the environmental impact of AI systems, and more. The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Our mission is to provide unbiased, rigorously vetted, broadly sourced data in order for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI. The report aims to be the world's most credible and authoritative source for data and insights about AI.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Oct 2023.
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Citing papers per year: 2023: 1; 2024: 9; 2025: 3.
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- 2024ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilitiescited by 110
- 2024Training Machine Learning models at the Edge: A Surveycited by 11
- 2024Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Surveycited by 11
- 2024Telecom Language Models: Must They Be Large?cited by 10
- 2024On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboardscited by 6
- 2024Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plotscited by 5
- 2024Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotionscited by 4
- 2023YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AIcited by 1
- 2024Bias in Text Embedding Modelscited by 1
- 2024Reciprocal Learningcited by 0
- 2025AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Servicescited by 0
- 2025Epistemic Deference to AIcited by 0
- 2025Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias5 Dec 2025
- 2025Epistemic Deference to AI23 Oct 2025
- 2025AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services6 Mar 2025
- 2024ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities30 Sep 2024
- 2024Reciprocal Learning12 Aug 2024
- 2024On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards4 Jul 2024
- 2024Bias in Text Embedding Models17 Jun 2024
- 2024Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions16 May 2024
- 2024Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey2 May 2024
- 2024Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots29 Apr 2024
- 2024Telecom Language Models: Must They Be Large?7 Mar 2024
- 2024Training Machine Learning models at the Edge: A Survey5 Mar 2024
- 2024ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilitiescited by 110
- 2024Training Machine Learning models at the Edge: A Surveycited by 11
- 2024Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Surveycited by 11
- 2024Telecom Language Models: Must They Be Large?cited by 10
- 2024On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboardscited by 6
- 2024Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plotscited by 5
- 2023YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AIcited by 1
- 2024Bias in Text Embedding Modelscited by 1
- 2024Reciprocal Learningcited by 0
- 2025AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Servicescited by 0
- 2025Epistemic Deference to AIcited by 0
- 2025Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Biascited by 0
- 2025Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias5 Dec 2025
- 2025Epistemic Deference to AI23 Oct 2025
- 2025AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services6 Mar 2025
- 2024ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities30 Sep 2024
- 2024Reciprocal Learning12 Aug 2024
- 2024On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards4 Jul 2024
- 2024Bias in Text Embedding Models17 Jun 2024
- 2024Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey2 May 2024
- 2024Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots29 Apr 2024
- 2024Telecom Language Models: Must They Be Large?7 Mar 2024
- 2024Training Machine Learning models at the Edge: A Survey5 Mar 2024
- 2023YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI19 Dec 2023