Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.
Sign Up For Latest News
On October 27, 2025, Tamay Besiroglu, Co-Founder and CEO of Mechanize Inc, will stop by the Digital Economy Lab for their seminar series.
On October 27, 2025, Tamay Besiroglu, Co-Founder and CEO of Mechanize Inc, will stop by the Digital Economy Lab for their seminar series.
Learn about Common Crawl's insights from a recent data product and informed solutions for the future of public web data.
Learn about Common Crawl's insights from a recent data product and informed solutions for the future of public web data.
This talk will explain what interaction techniques are, why they are important and difficult to design and implement, and the history and future of a few interesting examples.
This talk will explain what interaction techniques are, why they are important and difficult to design and implement, and the history and future of a few interesting examples.
In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face.
In Flash Teams, award-winning management scholar Melissa Valentine and computer scientist Michael Bernstein chart the opportunities of flash teams and navigate the challenges that teams and managers will face.
All of life encodes information with DNA. While tools for sequencing, synthesis, and editing of genomic code have transformed biological research, intelligently composing new biological systems would also require a deep understanding of the immense complexity encoded by genomes.
All of life encodes information with DNA. While tools for sequencing, synthesis, and editing of genomic code have transformed biological research, intelligently composing new biological systems would also require a deep understanding of the immense complexity encoded by genomes.
On September 29, 2025, Bharat Chandar, postdoctoral fellow at the Stanford Digital Economy Lab, and Ruyu Chen, research scientist at the Stanford Digital Economy Lab, will present the findings on their recent paper.
On September 29, 2025, Bharat Chandar, postdoctoral fellow at the Stanford Digital Economy Lab, and Ruyu Chen, research scientist at the Stanford Digital Economy Lab, will present the findings on their recent paper.
On September 22, 2025, Seyed M. Hosseini and Guy Lichtinger of Harvard University will visit our Seminar Series to present their paper.
On September 22, 2025, Seyed M. Hosseini and Guy Lichtinger of Harvard University will visit our Seminar Series to present their paper.
The rapid ascent of OpenAI has been central in showcasing the disruptive power of artificial intelligence to the public.
The rapid ascent of OpenAI has been central in showcasing the disruptive power of artificial intelligence to the public.
The talk starts with a quick exposition of the modern monetary circuit model (MMCT), considered an integral part of the general dynamic input-output model. Then, it analyzes money creation by the banking system and highlights central banks’ role as an anchor that keeps the financial system together. Particular emphasis is placed on interactions among different systems and foreign exchange.
The talk starts with a quick exposition of the modern monetary circuit model (MMCT), considered an integral part of the general dynamic input-output model. Then, it analyzes money creation by the banking system and highlights central banks’ role as an anchor that keeps the financial system together. Particular emphasis is placed on interactions among different systems and foreign exchange.
Co-author's Dave Patterson and Andy Konwinski discuss themes from "Shaping AI's Impact on Billions of Lives".
Co-author's Dave Patterson and Andy Konwinski discuss themes from "Shaping AI's Impact on Billions of Lives".
Despite widespread speculation about artificial intelligence’s impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy.
Despite widespread speculation about artificial intelligence’s impact on the future of work, we lack systematic empirical evidence about how these systems are actually being used for different tasks. Here, we present a novel framework for measuring AI usage patterns across the economy.
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
IBM Synthetic Data Sets (SDS) have been created for use cases in the financial industry.
Does job task automation augment or diminish the value of labor in the tasks that remain? We argue that the answer depends on whether removing tasks raises or reduces the expertise required to perform the bundle of tasks that remain. Because the tasks that are expert in one occupation may serve primarily as supporting tasks in another, automating any given task may simultaneously replace experts in some occupations and augment expertise in others.
Does job task automation augment or diminish the value of labor in the tasks that remain? We argue that the answer depends on whether removing tasks raises or reduces the expertise required to perform the bundle of tasks that remain. Because the tasks that are expert in one occupation may serve primarily as supporting tasks in another, automating any given task may simultaneously replace experts in some occupations and augment expertise in others.
The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
The AI Index, currently in its eighth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Advances in artificial intelligence are rapidly transforming the scientific enterprise, offering powerful new methods for generating hypotheses, designing experiments, and interpreting data. I will discuss the promise of AI to accelerate scientific discovery, sharing examples that illustrate emerging patterns of innovation driven by the rapid scaling of cycles of generation and testing.
Advances in artificial intelligence are rapidly transforming the scientific enterprise, offering powerful new methods for generating hypotheses, designing experiments, and interpreting data. I will discuss the promise of AI to accelerate scientific discovery, sharing examples that illustrate emerging patterns of innovation driven by the rapid scaling of cycles of generation and testing.
The talk will discuss how we got into this escalating conflict of AI, the state of the world today and how we come to a positive resolution without accidentally destroying the planet.
The talk will discuss how we got into this escalating conflict of AI, the state of the world today and how we come to a positive resolution without accidentally destroying the planet.
In 2021, the novelist and journalist Vauhini Vara asked a predecessor of ChatGPT to write about her sister’s death, resulting in an essay that was both more moving and more disturbing than she could have imagined.
In 2021, the novelist and journalist Vauhini Vara asked a predecessor of ChatGPT to write about her sister’s death, resulting in an essay that was both more moving and more disturbing than she could have imagined.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.
In an era when information is treated as a form of power and self-knowledge an unqualified good, the value of what remains unknown is often overlooked.