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Artificial Intelligence - Our World in Data
webCredibility Rating
4/5
High(4)High quality. Established institution or organization with editorial oversight and accountability.
Rating inherited from publication venue: Our World in Data
A general-audience reference site useful for grounding AI safety discussions in empirical data about AI progress and adoption; best used as a starting point or citation source rather than a deep technical resource.
Metadata
Importance: 45/100wiki pagereference
Summary
Our World in Data provides an empirically grounded, data-driven overview of artificial intelligence development, tracking metrics around AI capabilities, adoption, and societal impact. The resource aggregates research and statistics to help general audiences understand AI's trajectory and implications. It serves as a reference hub for understanding AI progress in broader economic and social context.
Key Points
- •Tracks exponential growth in AI capabilities using measurable benchmarks and historical data across multiple domains.
- •Covers societal implications of AI including labor market effects, economic productivity, and potential risks.
- •Aggregates data from academic research, industry reports, and government sources into accessible visualizations.
- •Situates AI development within broader technological and historical trends to provide long-term perspective.
- •Provides publicly accessible, regularly updated statistics useful for researchers, policymakers, and educators.
Review
The source document offers a nuanced exploration of artificial intelligence's current trajectory, emphasizing the technology's unprecedented rate of advancement and potential transformative impact. By presenting data on computational scaling, performance benchmarks, and investment trends, the analysis underscores how AI systems are becoming increasingly sophisticated, with capabilities already surpassing human performance in specific domains like language and image recognition. The document critically examines both the immense potential and profound risks associated with AI development, stressing that the technology's future trajectory is currently being shaped by a small group of technologists. It calls for broader societal engagement and understanding, highlighting key trends such as exponential growth in training computation, significant investment increases, and the emerging ability of AI to generate complex text and images. The source advocates for a more informed and proactive approach to AI governance, recognizing that the technology could have extraordinarily large positive and negative consequences for humanity.
Cited by 1 page
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Artificial Intelligence - Our World in Data Artificial intelligence (AI) systems already greatly impact our lives — they increasingly shape what we see, believe, and do. Based on the steady advances in AI technology and the significant recent increases in investment, we should expect AI technology to become even more powerful and impactful in the following years and decades.
It is easy to underestimate how much the world can change within a lifetime, so it is worth taking seriously what those who work on AI expect for the future. Many AI experts believe there is a real chance that human-level artificial intelligence will be developed within the following decades, and some think it will exist much sooner.
How such powerful AI systems are built and used will be very important for the future of our world and our own lives. All technologies have positive and negative consequences, but with AI, the range of these consequences is extraordinarily large: the technology has immense potential for good. Still, it comes with significant downsides and high risks.
A technology with such an enormous impact needs to be of central interest to people across our entire society. However, currently, the question of how this technology will be developed and used is left to a small group of entrepreneurs and engineers.
With our publications on artificial intelligence, we want to help change this status quo and support a broader societal engagement.
On this page, you will find charts of AI-related metrics, articles, and key insights to help you better understand what is happening and where we might be heading. We hope that this work will be helpful for the growing and necessary public conversation on AI.
Related topics
Technological Change
Research and Development
Economic Growth
Key Charts on Artificial Intelligence
See all charts on this topic Computation used to train notable artificial intelligence systems, by domain
Cumulative number of large-scale AI systems by country since 2019
Exponential growth of datapoints used to train notable AI systems
Hardware and energy cost to train notable AI systems
How worried are Americans about their work being automated?
Market share for logic chip production, by manufacturing stage
Monthly spending on data center construction in the United States
Test scores of AI systems on various capabilities relative to human performance
Total monthly distance traveled by passengers in California’s driverless taxis
Views about AI's impact on society in the next 20 years
Annual granted patents related to artificial intelligence, by industry
Annual patent applications related to AI per million people
Annual patent applications related to AI, by status
Annual patent applications related to artificial intelligence
Annual scholarly publications on artificial intelligence
Artificial intelligence: Performance on knowledge tests vs. training computation
Computation used to train notab
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