The seventh edition of the AI Index report from Stanford University Stanford is out, a credible and authoritative source for data and insights on artificial intelligence.


Copyright: – “Measuring Trends In AI – The 2024 AI Index Report”


SwissCognitive_Logo_RGBThe AI Index report arrived at an important moment, showcasing the profound influence of AI on society. This latest edition dives deeper into key trends, from technological progress and public sentiment to geopolitical influences on AI development. It features an expanded array of original data, including fresh insights into AI training costs, detailed examinations of the responsible AI framework, and introduces a new section on AI’s role in science and medicine.

Stanford University’s AI Index report compiles, distills, and visualizes data related to artificial intelligence (AI) to serve an essential mission. The aim is to furnish policymakers, researchers, executives, journalists, and the public with unbiased, rigorously vetted, and broadly sourced data, enabling a deeper and more nuanced understanding of the complex field of AI.

Here are the key highlights from the latest AI Index:

  1. AI Proficiency: AI excels in specific tasks like image classification and language understanding but struggles with complex cognitive challenges.
  2. Industry Leadership: The industry led AI research in 2023, producing the majority of significant models, with growing collaboration between industry and academia.
  3. Rising Costs: Training top AI models like OpenAI’s GPT-4 and Google’s Gemini Ultra now incurs astronomical costs.
  4. Geographical Dominance: The U.S. remains the leading contributor to major AI developments, significantly outpacing the EU and China.
  5. Lack of Standardization: There’s a critical need for standardized evaluations in responsible AI, complicating risk assessments across models.
  6. Generative AI Funding: Investment in generative AI technologies has surged, reaching $25.2 billion despite a broader investment slowdown.
  7. Workforce Impact: AI has been shown to enhance worker productivity and quality of output, though it requires careful management to avoid performance drops.
  8. Scientific Advances: AI’s role in accelerating scientific discoveries continues to expand, with notable advancements in algorithmic efficiency and materials discovery.
  9. Regulatory Increase: AI-related regulations in the U.S. have seen a sharp increase, reflecting growing governance in the field.
  10. Public Perception: Global awareness and apprehension about AI’s impact are growing, with a notable increase in concern over its future implications.

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Download the riport here.

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