The 2024 Artificial Intelligence Index Report was just published by the
Stanford Institute for Human-Centered Artificial Intelligence (HAI)
The 500+ page report provides details and analysis of the AI landscape worldwide, including national strategies, global usage, publications, patents, funding, technical advancements, public perceptions, projected economic impact, geopolitical dynamics, jobs, and education. This year's comprehensive analysis meticulously assesses the swift progression of AI across multiple domains—from research and development to technical proficiency and ethical considerations, economic implications, educational paradigms, policy frameworks, governance structures, diversity initiatives, and public perceptions. Notably, this latest edition amalgamates data from a diverse array of sources, including academia, private enterprises, non-profit organizations, alongside a wealth of self-gathered data and original analyses, surpassing the depth and breadth of previous iterations.
The Top 10 Takeaways highlight the vital importance of rigorous data management and a holistic approach to both short- and long-term planning. This is an opportune moment to reflect on the progress made and the challenges ahead. It's essential to actively engage in dialogues that prioritize values of humanity, dignity, and compassion, ensuring our innovations benefit everyone.
Access the full report here: https://lnkd.in/gCM9vgWs
- AI beats humans on some tasks, but not on all. AI has surpassed human performance on several benchmarks, including some in image classification, visual reasoning, and English understanding. Yet, it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning, and planning.
- Industry continues to dominate frontier AI research. In 2023, the industry produced 51 notable machine learning models, while academia contributed only 15. There were also 21 notable models resulting from industry-academia collaborations in 2023, a new high.
- Frontier models get way more expensive. According to AI Index estimates, the training costs of state-of-the-art AI models have reached unprecedented levels. For example, OpenAI’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute.
- The United States leads China, the EU, and the U.K. as the leading source of top AI Models. In 2023, 61 notable AI Models originated from U.S.-based institutions, far outpacing the European Union’s 21 and China’s 15.
- Robust and standardized evaluations for LLM responsibility are seriously lacking. New research from the AI Index reveals a significant lack of standardization in responsible AI reporting. Leading developers, including OpenAI, Google , and Anthropic, primarily test their models against different responsible AI benchmarks. This practice complicates efforts to systematically compare the risks and limitations of top AI models.
- Generative AI investment skyrockets. Despite a decline in overall AI private investment last year, funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion. Major players in the generative AI space, including
OpenAI
,
Anthropic
,
Hugging Face
, and Inflection, reported substantial fundraising rounds.
- The data is in: AI makes workers more productive and leads to higher quality work. In 2023, several studies assessed AI’s impact on labor, suggesting that AI enables workers to complete tasks more quickly and improve the quality of their output. These studies also demonstrated AI’s potential to bridge the skill gap between low- and high-skilled workers. Still, other studies caution that using AI without proper oversight can lead to diminished performance.
- Scientific progress accelerates even further, thanks to AI. In 2022, AI began to advance scientific discovery. However, 2023 saw the launch of even more significant science-related AI applications—from AlphaDev, which makes algorithmic sorting more efficient, to GNoME, which facilitates the process of materials discovery.
- The number of AI regulations in the United States sharply increases. The number of AI-related regulations in the U.S. has risen significantly in the past year and over the last five years. In 2023, there were 25 AI-related regulations, up from just one in 2016. Last year alone, the total number of AI-related regulations grew by 56.3%.
- People across the globe are more cognizant of AI’s potential impact—and more nervous. A survey from Ipsos shows that, over the last year, the proportion of those who think AI will dramatically affect their lives in the next three to five years has increased from 60% to 66%. Moreover, 52% express nervousness toward AI products and services, marking a 13 percentage point rise from 2022. In America, Pew Research data suggests that 52% of Americans report feeling more concerned than excited about AI, rising from 37% in 2022.
What struck you as the most intriguing, thought-provoking, or potentially contentious insight from this year's report?
#artificialintelligence #stanfordhai #hai #AI #Business #Technology #LLM #digitaltransformation #humanity #leadership #siliconvalley
微软
英伟达
美国斯坦福大学
Lawrence Berkeley National Laboratory (LBNL)
美国麻省理工学院
