The 2024 AI Index Report is the seventh edition of the AI Index, the most comprehensive to date. It covers essential trends such as technical advancements in AI, public perceptions, and geopolitical dynamics. The report provides original data, including new estimates on AI training costs, analyses of responsible AI, and a new chapter on AI's impact on science and medicine. The AI Index tracks, collates, distills, and visualizes data related to AI to help policymakers, researchers, executives, journalists, and the general public understand AI's complex field. The AI Index is recognized globally as one of the most credible and authoritative sources for AI data and insights. Previous editions have been cited in major newspapers and referenced by high-level policymakers. This year's edition surpasses all previous ones in size, scale, and scope, reflecting AI's growing significance in all aspects of life. The co-directors of the AI Index report highlight that AI systems now routinely exceed human performance on standard benchmarks. However, current AI technology still has significant problems, such as reliably dealing with facts, performing complex reasoning, or explaining conclusions. AI faces two interrelated futures: one where technology continues to improve and is increasingly used, and another where adoption is constrained by technological limitations. Governments are increasingly concerned and are stepping in to encourage the upside of AI while managing its risks. The AI Index provides ongoing, objective snapshots tracking key areas: technical progress in AI capabilities, the community and investments driving AI development, public opinion on current and potential future impacts, and policy measures taken to stimulate AI innovation while managing its risks. By monitoring the AI ecosystem, the Index serves as an important resource for understanding this transformative technological force. In 2023, the number of new large language models released worldwide doubled compared to the previous year. Two-thirds were open-source, but the highest-performing models came from industry players with closed systems. Gemini Ultra became the first LLM to reach human-level performance on the MMLU benchmark, and GPT-4 achieved an impressive score on the HELM benchmark. Despite a decline in overall AI private investment, funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion. Major players in the generative AI space reported substantial fundraising rounds. The number of AI-related regulations in the U.S. has risen significantly, with 25 regulations in 2023, up from one in 2016. The public is more aware of AI's potential impact and more nervous about it. The AI Index report highlights key takeaways, including AI's performance on some tasks but not all, industry's dominance in frontier AI research, the high cost of frontier models, the U.S. leading in top AI models, the lack of standardized evaluations for responsible AI, the surge in generative AI investment, AI's productivity benefits, and the acceleration of scientific progress through AI. The report also coversThe 2024 AI Index Report is the seventh edition of the AI Index, the most comprehensive to date. It covers essential trends such as technical advancements in AI, public perceptions, and geopolitical dynamics. The report provides original data, including new estimates on AI training costs, analyses of responsible AI, and a new chapter on AI's impact on science and medicine. The AI Index tracks, collates, distills, and visualizes data related to AI to help policymakers, researchers, executives, journalists, and the general public understand AI's complex field. The AI Index is recognized globally as one of the most credible and authoritative sources for AI data and insights. Previous editions have been cited in major newspapers and referenced by high-level policymakers. This year's edition surpasses all previous ones in size, scale, and scope, reflecting AI's growing significance in all aspects of life. The co-directors of the AI Index report highlight that AI systems now routinely exceed human performance on standard benchmarks. However, current AI technology still has significant problems, such as reliably dealing with facts, performing complex reasoning, or explaining conclusions. AI faces two interrelated futures: one where technology continues to improve and is increasingly used, and another where adoption is constrained by technological limitations. Governments are increasingly concerned and are stepping in to encourage the upside of AI while managing its risks. The AI Index provides ongoing, objective snapshots tracking key areas: technical progress in AI capabilities, the community and investments driving AI development, public opinion on current and potential future impacts, and policy measures taken to stimulate AI innovation while managing its risks. By monitoring the AI ecosystem, the Index serves as an important resource for understanding this transformative technological force. In 2023, the number of new large language models released worldwide doubled compared to the previous year. Two-thirds were open-source, but the highest-performing models came from industry players with closed systems. Gemini Ultra became the first LLM to reach human-level performance on the MMLU benchmark, and GPT-4 achieved an impressive score on the HELM benchmark. Despite a decline in overall AI private investment, funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion. Major players in the generative AI space reported substantial fundraising rounds. The number of AI-related regulations in the U.S. has risen significantly, with 25 regulations in 2023, up from one in 2016. The public is more aware of AI's potential impact and more nervous about it. The AI Index report highlights key takeaways, including AI's performance on some tasks but not all, industry's dominance in frontier AI research, the high cost of frontier models, the U.S. leading in top AI models, the lack of standardized evaluations for responsible AI, the surge in generative AI investment, AI's productivity benefits, and the acceleration of scientific progress through AI. The report also covers