Stanford HAI @StanfordHAI Twitter profile | Pikagi

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Stanford HAI

@StanfordHAI

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The official account of the @Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.

Stanford, CA

https://t.co/ssbiS06txq

Joined November 2018

Don't wanna be here? Send us removal request.

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@StanfordHAI

Stanford HAI

23 days

📢 The #AIIndex2024 is now live! This year’s report presents new estimates on AI training costs, a thorough analysis of the responsible AI landscape, and a new chapter about AI's impact on medicine and scientific discovery. Read the full report here:

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@StanfordHAI

Stanford HAI

3 years

An AI device implanted at the brain’s surface has allowed a person with paralysis to communicate by converting his mental handwriting into text.

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@StanfordHAI

Stanford HAI

5 years

When " #ImageNet : A large-scale hierarchical image database" was published in 2009, it showed how large-scale datasets could transform neural network algorithms. Now, its author & HAI co-director @drfeifei has won the @cvpr2019 award for the retrospective most impactful paper. #AI

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@StanfordHAI

Stanford HAI

5 years

Hi, we are the @Stanford Institute for Human-Centered Artificial Intelligence. AI has the potential to transform our world – how will we ensure it improves life for all of us? Join us in our work to explore this dream of a better future. #StanfordHumanAI

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@StanfordHAI

Stanford HAI

28 days

This year’s AI Index report offers a deep dive into the evolving landscape of AI. Covering key trends from technical performance to geopolitical dynamics, it's a must-read for industry leaders, policymakers, and anyone interested in the state of AI.

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@StanfordHAI

Stanford HAI

5 years

"It’s time to make ethics a fundamental part of research and development in AI." - @drfeifei , co-director of Stanford HAI #StanfordHumanAI

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@StanfordHAI

Stanford HAI

4 years

Stanford engineers have taught an autonomous electric DeLorean to drift like a pro driver:

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@StanfordHAI

Stanford HAI

23 days

The #AIIndex2024 tracks the rise of multimodal models, major cash investments into generative AI, new performance benchmarks, shifting global opinions, and major regulations. It’s a lot to take in! Start with this series of charts for the main highlights:

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@StanfordHAI

Stanford HAI

3 years

NEW: This comprehensive report investigates foundation models (e.g. BERT, GPT-3), which are engendering a paradigm shift in AI. 100+ scholars across 10 departments at Stanford scrutinize their capabilities, applications, and societal consequences.

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@StanfordHAI

Stanford HAI

1 year

Just released! The #AIIndex2023 rounds up the latest trends in AI. This year’s report introduces more original data than any previous edition, a new chapter on AI public opinion, and more. Here are the top takeaways: ↘️

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@StanfordHAI

Stanford HAI

3 years

Introducing the new AI Index! Take a deep dive into what happened in the world of #AI this year, from technical advances to hiring to the ethical landscape. #AIIndex2021

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@StanfordHAI

Stanford HAI

2 years

Just released: The #AIIndex2022 . This year's report provides new and updated metrics across all aspects of AI: research and development, technical AI ethics, AI policy and governance, diversity in AI, and more. Read the report:

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@StanfordHAI

Stanford HAI

3 years

Just released: The newest #AI100report examines the current state of AI, it's far-reaching impact, and the role of government, academia, the industry, and the public in shaping the technology. Read the report:

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@StanfordHAI

Stanford HAI

10 months

Breaking news: The U.S. Congress just introduced a bipartisan bill called CREATE AI Act, which calls for a National AI Research Resource. This bill builds upon work that Stanford HAI has supported through thought leadership, research, and engagement.

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AI Caucus Leaders Introduce Bipartisan Bill to Expand Access to AI Research | Congresswoman Anna...

WASHINGTON, D.C. - U.S. Rep. Anna G. Eshoo (CA-16), Rep. Michael McCaul (TX-10), Rep. Don Beyer (VA-08), and Rep.

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@StanfordHAI

Stanford HAI

1 year

Stanford faculty offer four predictions for AI in 2023:

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What to Expect in 2023 in AI

HAI faculty share their predictions for the coming year.

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@StanfordHAI

Stanford HAI

11 months

Yesterday, EU lawmakers passed a draft of the EU AI Act which proposed transparency requirements for providers of foundation models like ChatGPT. Do they currently comply with the draft act? Researchers at @StanfordCRFM & HAI found that they often do not.

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@StanfordHAI

Stanford HAI

5 years

Today, we're setting out to fundamentally change the field of AI by integrating a wide range of disciplines and prioritizing true diversity of thought. Co-Directors @drfeifei and John Etchemendy share the story of #StanfordHumanAI in their own words:

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@StanfordHAI

Stanford HAI

4 years

#COVID19 and AI: A Virtual Conference on April 1 will explore #AI applications in diagnostics and treatment and the human impact on economies, culture, government and human behavior. More details on the livestream coming soon.

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@StanfordHAI

Stanford HAI

4 years

A new @IndexingAI report on #AI ’s global impact is now live. #AIIndex2019 analyzes the technology’s broad impact on society, from national economies to autonomous vehicles. Read more on our blog:

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@StanfordHAI

Stanford HAI

1 year

Could AI choreograph the next TikTok dance trend? Stanford researchers have created a model called EDGE that can choreograph human dance animation to match any piece of music – unlocking new possibilities for creative expression & physical engagement.

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@StanfordHAI

Stanford HAI

4 months

Congratulations to @StanfordHAI associate director @chrmanning for winning this year's @IEEEorg 's John von Neumann Medal for his outstanding achievements in advancing computational representation and analysis of natural language. Learn more here:

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@StanfordHAI

Stanford HAI

5 years

In education, we haven’t even begun to do deep machine learning work in terms of understanding motivation, teaching styles and more to really improve the output of the system: better learning, fewer dropouts. - Bill Gates #StanfordHumanAI

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@StanfordHAI

Stanford HAI

4 years

“What if, instead of thinking of automation as the removal of human involvement from a task, we imagined it as the selective inclusion of human participation?” Professor @gewang unravels the value derived from “human-in-the-loop” AI systems.

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@StanfordHAI

Stanford HAI

5 years

“I still believe the world is created by us. And whatever future world we envision or we want to live in is due to the work we do today.” @drfeifei spoke with @CNBC about guiding #AI 's impact.

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@StanfordHAI

Stanford HAI

3 years

Can we teach robots to generalize learning? How can algorithms become more commonsensical? Can a child’s learning style influence AI? Scholars discussed the intersection of human intelligence and AI at HAI's fall conference:

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@StanfordHAI

Stanford HAI

3 years

A brain-computer interface powered by artificial intelligence can help people with paralysis or limb impairment communicate by translating imagined handwriting into text.

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@StanfordHAI

Stanford HAI

1 year

The #AIIndex2023 shows that AI is starting to rapidly accelerate scientific progress - from aiding hydrogen fusion to generating new antibodies. Today @stanford , our co-director @drfeifei and @deepmind ’s @demishassabis discuss the promise of AI in advancing scientific discovery.

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@StanfordHAI

Stanford HAI

4 years

HAI co-director @drfeifei has been elected to @theNAEng for her contributions in building large knowledge bases for machine learning and visual understanding. Congratulations to her and the rest of this year’s newly elected members!

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@StanfordHAI

Stanford HAI

4 years

Stanford researchers are creating an open-source challenge to mainstream voice assistants - with the hope of opening up competition and protecting privacy. #AI

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An Open-Source Challenger to Popular Virtual Assistants

Stanford researchers hope their open virtual assistant Almond can increase competition and better protect privacy.

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@StanfordHAI

Stanford HAI

2 years

Can computers think? Alan Turing’s paper, “Computing Machinery and Intelligence” published 72 years ago this month in Mind, was the first to ask this question and introduce the idea of the Imitation Game – aka the Turing Test.

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@StanfordHAI

Stanford HAI

5 years

“I don’t see that human intelligence is something that humans can never understand.” - John McCarthy, founder of the Stanford Artificial Intelligence Laboratory ⁣ #StanfordHumanAI

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@StanfordHAI

Stanford HAI

3 years

During @AndrewYang 's presidential campaign, he argued that tech advances such as AI will put 1 in 3 Americans out of work in the next 12 yrs. To avert an economic crisis, he proposes that every American adult receive $1,000/mo, or a UBI. #RadicalPolicies4AI

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@StanfordHAI

Stanford HAI

3 years

Welcome to Peter Norvig, who has joined HAI as a Distinguished Education Fellow! In this interview, he describes three problems that should be addressed for DEI education programs to be effective:

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Peter Norvig: Today’s Most Pressing Questions in AI Are Human-Centered

The AI expert, who joins Stanford HAI as a Distinguished Education Fellow, discusses building inclusive education and broadening access to students.

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@StanfordHAI

Stanford HAI

3 years

1/11: Yesterday HAI released the #AIIndex2021 , a comprehensive look at AI's impact and progress from the past year, covering job growth, diversity, research, and more. Here is the state of AI in ten charts.

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State of AI in 10 Charts

What happened in 2020 in AI education, hiring, policy, investment, and other sectors? Here are the most important details from HAI’s new AI Index

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@StanfordHAI

Stanford HAI

3 years

Now posted: The full lineup for the Workshop on Foundation Models. This program brings together speakers from a vast array of disciplines to discuss foundation models (e.g. GPT-3), the underlying technology, and the broader societal impact.

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@StanfordHAI

Stanford HAI

3 years

Large language models like GPT-3 can contain bias and perpetuate the spread of disinformation. OpenAI and Stanford researchers call for urgent action to address this societal impact.

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@StanfordHAI

Stanford HAI

2 years

Born on this day in 1927 🎂: AI pioneer John McCarthy, who coined the term “artificial intelligence" and launched the @StanfordAILab . Check out this oral history of his work from 2007, by @ComputerHistory :

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@StanfordHAI

Stanford HAI

3 years

Virtual assistants like Alexa and Google may make life easier, but their makers have built what amounts to a duopoly, say Stanford scholars. They've created an open-source virtual assistant that protects consumer privacy and increases competition.

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@StanfordHAI

Stanford HAI

5 years

A human-centered approach to AI requires that we focus diverse ways of thinking on #AI . - @Stanford President Marc Tessier-Lavigne #StanfordHumanAI

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@StanfordHAI

Stanford HAI

11 months

Today in San Francisco: AI experts, including HAI Co-Director @drfeifei and HAI Associate Director @robreich , met with President Joe Biden @POTUS to discuss the promises and risks of artificial intelligence.

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@StanfordHAI

Stanford HAI

5 years

We need to broaden the conversation around #AI . Today, it's very much behind a wall of math and equations. We’re missing tools that can translate that into a language other people can engage with. - @viegasf #StanfordHumanAI

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@StanfordHAI

Stanford HAI

9 months

Just announced! HAI Co-Director @drfeifei joins a scientific advisory board created by UN Secretary-General Antonio Guterres that will advise @UN leaders on breakthroughs in technology and how to harness benefits of these advances while mitigating risks.

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@StanfordHAI

Stanford HAI

3 years

AI is undergoing a sweeping paradigm shift with models (e.g., GPT-3) trained at immense scale, carrying both major opportunities and serious risks. Experts from multiple disciplines will discuss at our upcoming workshop on Aug. 23-24:

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@StanfordHAI

Stanford HAI

28 days

Spotted at the #GoogleCloudNext event in Las Vegas: Proud to see @StanfordHAI and our co-director @drfeifei featured for our human-centered approach to AI development!

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@StanfordHAI

Stanford HAI

2 years

Introducing the #AIAuditChallenge – a $71K competition to design better AI audits. @StanfordHAI & @StanfordCyber are seeking proposals for tools that enable regulators, journalists & civil society to effectively audit deployed AI systems/open source models.

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@StanfordHAI

Stanford HAI

3 years

This new AI tool can help spot deep-fakes. But as the technology to manipulate video gets better, the capability of technology to detect it gets worse. The real task is improving our media literacy.

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Using AI to Detect Seemingly Perfect Deep-Fake Videos

But a Stanford professor says the cat-and-mouse game is far from over.

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@StanfordHAI

Stanford HAI

1 year

What is "emergence" in large language models? Scholars explain how scale influences model behavior.

Examining Emergent Abilities in Large Language Models

Scholars track how models change with scale.

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@StanfordHAI

Stanford HAI

2 months

Stanford HAI is turning five!🎉 We’re excited to celebrate this anniversary with our community of scholars, collaborators, supporters, and staff. Follow along our #MondayMilestones as we look back at key moments that have shaped our commitment to advancing human-centered AI. 1/n

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Stanford HAI

5 years

Compared with using a flashcard app, students who studied with QuizBot remembered 25% more right answers for information ranging from science to advanced English vocabulary.

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For learning, a chatbot that teaches beats flashcards | Stanford News

Researchers have applied chatbot technology to self-paced learning and significantly improved student recall and retention over flashcard-based learning.

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@StanfordHAI

Stanford HAI

4 years

RSVP for our virtual conference on COVID-19 and #AI on April 1. Speakers will explore topics including epidemiological tracking and forecasting of the virus's spread, as well as the broader human impact of pandemics.

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COVID-19 and AI: A Virtual Conference

The speakers and topics engaged the broad research community, government and international organizations and civil society, uniting a global community toward solutions to benefit all of humanity.

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@StanfordHAI

Stanford HAI

3 years

The relationship between perception and memory within the human brain has flummoxed scientists. New research using state-of-the-art computational tools from artificial intelligence disentangles the debate.

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How Artificial Neural Networks Help Us Understand Neural Networks in the Human Brain

Experts from psychology, neuroscience, and AI settle a seemingly intractable historical debate in neuroscience — opening a world of possibilities for using AI to study the brain.

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@StanfordHAI

Stanford HAI

3 years

What does the future of large language models like GPT-3 look like? What is their impact to society? HAI convened researchers from @OpenAI , @Stanford , and other universities to discuss. Here are 7 takeaways:

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How Large Language Models Will Transform Science, Society, and AI

Scholars in computer science, linguistics, and philosophy explore the pains and promises of GPT-3.

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Stanford HAI

3 years

Machine learning is radically changing how one builds, deploys, and maintains software. Chris Re, Stanford CS professor, describes the challenges that this “Software 2.0” presents.

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@StanfordHAI

Stanford HAI

5 years

We are the @Stanford Institute for Human-Centered Artificial Intelligence: a new center to prepare the next generation of leaders to learn, build, invent, and scale AI with a human-centered approach. Learn more: #StanfordHumanAI

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Introducing Stanford's Human-Centered AI Initiative

A common goal for the brightest minds from Stanford and beyond: putting humanity at the center of AI.

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@StanfordHAI

Stanford HAI

7 months

Foundation model developers are becoming less transparent, making it difficult for researchers, policymakers, and the public to understand how these models work, as well as their limitations and impact. Scholars assess the transparency of 10 developers.

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Stanford HAI

5 years

#AI isn't just a technical field anymore. We need educators, policymakers, journalists and the rest of society to contribute their perspectives, said @drfeifei , co-director of Stanford HAI.

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@StanfordHAI

Stanford HAI

5 months

AI forecasts for 2024: @StanfordHAI ’s leading minds predict the biggest stories for next year in artificial intelligence. @erikbryn @landay @Rbaltman @drfeifei @gewang @kingjen

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What to Expect in AI in 2024

Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.

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@StanfordHAI

Stanford HAI

4 years

How do we emerge from the COVID-19 pandemic? On June 1, HAI brings together researchers and industry experts to discuss the path forward, economically, medically, and culturally. Register to join.

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@StanfordHAI

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1 year

Just announced: As AI systems push the boundaries of human expression, we are forced to confront questions about creativity, authenticity, and ownership. On May 24, join artists and technologists as we explore these complex issues at our Spring Symposium:

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@StanfordHAI

Stanford HAI

11 months

AI’s supposed emergent capabilities have caused great concern widely shared by many in the tech industry. But according to a new paper, the presence of emergence only exists because of the programmers' choice of metric.

AI’s Ostensible Emergent Abilities Are a Mirage

According to Stanford researchers, large language models are not greater than the sum of their parts.

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@StanfordHAI

Stanford HAI

5 years

Congratulations to our faculty co-director @drfeifei on receiving the 2019 @NatGeo Further Award, which recognizes a leader pushing the boundaries of their field with uniquely innovative, timely, and impactful work.

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Stanford HAI

3 years

Does having virtual bodies influence an artificial agent's ability to learn new tasks and thrive in challenging environments? A new Stanford research suggests that embodiment is key to the evolution of intelligence:

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@StanfordHAI

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3 years

The National AI Research Resource (NAIRR) will help level the playing field in AI research, education, and innovation. @WHOSTP has invited HAI’s @drfeifei to serve on the task force that will create a roadmap and implementation plan for this infrastructure.

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The Biden Administration Launches the National Artificial Intelligence Research Resource Task Force...

Task Force members will help develop a roadmap to democratize access to research tools that will promote AI innovation and fuel economic prosperity Today, the White House Office of Science and...

www.whitehouse.gov

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4 years

We're one week away from our virtual conference on COVID-19 and AI. RSVP to learn more about AI applications in epidemiological tracking, and the impact of pandemics on economies, culture, government and human behavior.

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@StanfordHAI

Stanford HAI

3 years

Starting in 1 hour: The two-day workshop on #FoundationModels will bring together scholars and experts from a vast array of disciplines to discuss foundation models (eg GPT-3), the underlying technology, and the broader societal impact. Streaming live here

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@StanfordHAI

Stanford HAI

4 years

How can we hope to build an artificial intelligence when we still understand so little about human intelligence? Register for our Oct. 7 virtual conference examining the intersections of neuroscience, psychology and #AI .

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3 years

Stanford scholars have developed machine learning methods to accurately predict molecular structures, unraveling one of the biggest problems in modern biology and medical discovery.

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AI algorithm solves structural biology challenges | Stanford News

Stanford researchers develop machine learning methods that accurately predict the 3D shapes of drug targets and other important biological molecules, even when only limited data is available.

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Stanford HAI

4 years

. @Susan_Athey testifies to Congress: What you should know about AI and the economy

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6 months

🚨 Introducing our new tracker for @POTUS ’s Executive Order on AI. This tool follows the 150 requirements and provides key statistics and novel insights into this pivotal AI policy & its implementation — from policy focus areas to the urgency of deadlines.

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3 months

A proof of concept called Neural Signal Operated Intelligent Robots (NOIR) points to a day where thought-controlled robots might be in every home.

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Wearable Device Allows Humans To Control Robots with Brain Waves

Wearing a non-invasive, electronic cap that reads the wearer’s EEGs, humans can now command robots to perform a range of everyday tasks.

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5 years

Thank you, @BillGates , for joining us today to discuss the ethical development of human-centered #AI and how it can be applied to improve lives around the world, from medicine to education. #StanfordHumanAI

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3 years

The vast majority of patient data used to build medical AI tools comes from only three states, with little or no representation from the remaining 47 states. Stanford scholars examine health care bias and the path toward fairness.

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5 years

We're preparing the next generation of leaders to learn, build, invent and scale #AI with a human-centered approach. Join us in exploring this dream of a better future.

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4 years

We're developing a hub for COVID-19 research collaborations and other opportunities, such as RA positions, internships, or funding opportunities. Learn more.

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2 months

Congrats to @StanfordHAI ’s James @Landay on his ACM SIGCHI Lifetime Research Award! This award recognizes the most innovative and influential contributions to the study of human-computer interaction. Well deserved, James! @sigchi

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4 years

The National Research Cloud, first proposed by HAI Co-Directors John Etchemendy and @drfeifei , would give academic scientists access to public data sets and to the cloud data centers of major tech companies.

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4 years

America must continue to be a frontrunner in AI and technology. We can do so many positive things with this technology, says @drfeifei in this discussion with @CondoleezzaRice

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9 months

A recent study reveals that ChatGPT outperforms first- and second-year medical students on complex clinical reasoning exam questions, signaling a need for a new approach for medical education.

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5 years

. @drfeifei : AI has developed some truly remarkable capabilities in recent years, but it remains light years behind the nuance, subtlety and flexibility of our own intelligence. #StanfordHumanAI

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2 years

Using a simulation, researchers studied how embodiment influences the evolution of AI. “To our knowledge, this is the first simulation to show that what you learn within a lifetime can be sped up just by changing your morphology," says HAI's @SuryaGanguli .

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1 year

Complex code written by large language models is prone to failure, as a single mistake can break the entire program. Parsel allows LLMs to write multi-part code the way people do: breaking down hard tasks into smaller pieces and solving them one at a time.

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New Tool Helps AI and Humans Learn To Code Better

Stanford researchers developed a new framework called Parsel that solves complex coding tasks the way humans do — breaking down big tasks into smaller ones.

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@StanfordHAI

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5 years

The @InsideNatGeo Further Award recognizes a leader whose work is uniquely innovative, timely and impactful. Watch our co-director @drfeifei – this year’s award recipient – discuss the origins of her interest in science and #AI .

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15 days

HAI associate director and co-founder @chrmanning has a lifelong fascination with human language. His efforts to help computers learn, understand, and generate that language has made him an influential figure in NLP. (via @StanfordEng )

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Laying the foundation for today’s generative AI

Linguist and natural language processing (NLP) pioneer Christopher Manning’s lifelong love of words continues to shape how humans and computers bridge the language gap.

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5 years

. @MarietjeSchaake : We need a deeper debate about which tasks need to stay in the hands of the public, out of the market #StanfordHumanAI

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1 year

Hear insights from our co-director @drfeifei and Google DeepMind CEO @demishassabis as they discussed how AI is rapidly changing the speed and breadth of scientific discovery. Watch the recording here:

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Fei-Fei Li & Demis Hassabis: Using AI to Accelerate Scientific...

AI is rapidly changing the speed and breadth of scientific discovery. In this discussion, Demis Hassabis, co-founder and CEO of DeepMind Technologies, shares...

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1 year

"Many of our social relations are now partly or wholly constituted by algorithmic intermediaries," says @sethlazar at the 2023 Tanner Lecture on AI and Human Values @stanford , co-hosted by @StanfordEthics . Watch the livestream here:

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5 years

There’s a desire to come up with a quantitative metric for fairness, but there isn’t one. What we’re starting to see is a tweaking of algorithmic systems to create parity. - @katecrawford #StanfordHumanAI

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Stanford HAI

8 months

Huge congratulations to our co-director @drfeifei for her well-deserved spot on @TIME 's #TIME100AI of 2023! Your contributions to the world of AI are reshaping our future and inspiring us all.

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TIME100 AI 2023: Fei-Fei Li

Find out why Fei-Fei Li made the TIME100 AI list of the most influential people in artificial intelligence.

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@StanfordHAI

Stanford HAI

3 years

Each year AI experts across disciplines provide a comprehensive review of artificial intelligence through the AI Index. On March 3, the new AI Index launches – recapping an unprecedented year of growth. #AIIndex2021

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@StanfordHAI

Stanford HAI

1 year

Foundation models are powerful machine learning algorithms that sit at the core of many generative AI tools today. How are they built and deployed and how are they changing society? Here’s a quick intro for non-experts:

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@StanfordHAI

Stanford HAI

5 years

Live in three days: Watch our 2019 fall conference on AI Ethics, Policy, and Governance, where we'll discuss AI and the economy, what we truly want from #AI , and more. #StanfordHumanAI

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@StanfordHAI

Stanford HAI

3 years

To better understand #GPT3 ’s capabilities, limitations, and potential impact on society, HAI convened researchers from OpenAI, Stanford, and other universities earlier this year. Here are the highlights of their discussion:

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@StanfordHAI

Stanford HAI

3 years

That concludes our Workshop on #FoundationModels ! Many thanks to our insightful speakers and engaged audience. For those who missed it, you can find the recording of both days on our Youtube channel:

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Stanford HAI is committed to studying, guiding and developing human-centered AI technologies and applications.

www.youtube.com

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@StanfordHAI

Stanford HAI

4 years

We are seeking a new science education postdoctoral fellow to conduct research and outreach aimed at addressing the underrepresentation of various populations in the field. Learn more about the program:

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@StanfordHAI

Stanford HAI

4 years

Stanford HAI "was set up to look at three areas; the human impact of #AI , how AI can augment rather than replace people, and improving the ‘intelligence’ part of AI." - James @landay , associate director

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@StanfordHAI

Stanford HAI

3 years

We're piloting a new graduate fellows program that connects students and HAI scholars to develop interdisciplinary, human-centered research in AI. Welcome to our first cohort!

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@StanfordHAI

Stanford HAI

3 years

“Whether by race, gender or geography, medical AI has a data diversity problem: Researchers can’t easily obtain large, diverse medical data sets. And that can lead to biased algorithms.” @dr_amit_kaushal @Rbaltman @curtlanglotz explain in @sciam

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Health Care AI Systems Are Biased

We need more diverse data to avoid perpetuating inequality in medicine

www.scientificamerican.com

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@StanfordHAI

Stanford HAI

4 years

Disinformation "is not a new phenomenon. We are up against this all the time. We need to make sure we’re talking not just about the spread of disease, but also the spread of information that can hurt people." - @DoctorYasmin

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@StanfordHAI

Stanford HAI

4 years

Ryan Tibshirani and his team use epidemiological tools to forecast the flu. Now his team is examining COVID-19: “What we’re observing now is not like observing the flu or like anything we observed before."

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@StanfordHAI

Stanford HAI

1 year

Stanford PhD student @RishiBommasani works to build an interdisciplinary research community to study foundation models and evaluate them in a holistic way. “There are a lot of basic questions we don’t have answers for.”

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