Stanford HAIVerified account

@StanfordHAI

Advancing AI research, education, policy, and practice to improve the human condition.

Stanford, CA
hai.stanford.edu
Joined November 2018
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  1. Pinned Tweet
    Mar 16

    Just released: The . 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:

    2 replies . 165 retweets 352 likes
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  2. 50 minutes ago

    Some key highlights of the : Advances in natural language processing, a growing focus in AI ethics, high levels of AI investment, and U.S.-China cross-country collaborations. Read via

    1 retweet 5 likes
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  3. 2 hours ago

    The dropped last week. Check out the key highlights here:

    3 likes
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  4. 3 hours ago

    What do you think is the top AI-related skill most requested by employers? Learn about trends in AI jobs and more from the latest :

    2 retweets 4 likes
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  5. Retweeted
    Mar 18

    The 2022 edition of 's annual impact and progress report is out, and it shows is at a crossroads. The 2022 AI Index takes note of AI's increasing , as well as new concerns:

    4 retweets 2 likes
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  6. Mar 18

    Read more about this research:

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  7. Retweeted
    Mar 16

    Machine-learning models more powerful, toxic than ever

    7 retweets 7 likes
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  8. Mar 18

    How can leaders use new technologies such as AI to gain competitive advantage and positively impact diverse stakeholders? Join next Wednesday's discussion with Stanford professor Chuck Eesley and Bloomberg Beta partner .

    3 retweets 15 likes
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  9. Mar 18

    Scholars including HAI's worked with to develop language matching algorithms to help with COVID-19 contact tracing. They outlined lessons learned from this collaborative design process via :

    1 reply . 6 retweets 22 likes
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  10. Mar 18

    Designers of autonomous vehicles have come to rely on simulations for safety tests. But are these simulations up to the challenge? A recent survey of safety-validation algorithms indicates promise, but also room for improvement.

    10 retweets 18 likes
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  11. Mar 18

    From the future of work to education trends, our industry briefs distill artificial intelligence research from all of Stanford’s schools, bringing original academic research to bear on issues of importance across different industries.

    1 reply . 4 retweets 12 likes
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  12. Mar 18

    Email auto-complete, voice assistants like Siri or Alexa, and translation apps don’t work for everyone equally. Research shows who is left behind in these AI-enabled communication tools.

    1 reply . 9 retweets 19 likes
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  13. Retweeted
    Mar 16

    Rationality matters, says . It leads to better choices in our lives and is the ultimate driver of social justice and moral progress. Join us on Monday 3/21 for "Rationality: What It Is, Why It Seems Scarce, Why It Matters."

    3 retweets 3 likes
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  14. Retweeted
    Mar 17

    Curious to explore in the context of and other emerging technologies? Check out this webinar next Wednesday, March 23 with Stanford professor Chuck Eesley and ! 👇

    4 retweets 5 likes
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  15. Retweeted
    Mar 16

    TOP TAKEAWAYS FROM THE 2022 AI INDEX REPORT - A THREAD This year, we partnered with a broad set of academic, private, and nonprofit organizations and introduced more self-collected data and original analysis than any previous editions. Here are the highlights from :

    2 replies . 36 retweets 58 likes
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  16. Mar 17

    ➡️ Data, data, data. Top results across technical benchmarks have increasingly relied on the use of extra training data to set new state-of-the-art results. Read the full report here:

    1 retweet 9 likes
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  17. Mar 17

    ➡️ The rise of AI ethics everywhere. Algorithmic fairness and bias has shifted from being primarily an academic pursuit to becoming firmly entrenched as a mainstream research topic with wide-ranging implications. Read more:

    1 reply . 2 retweets 8 likes
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  18. Mar 17

    ➡️ The U.S. and China dominated cross-country collaborations on AI. Both countries had the greatest number of cross-country collaborations in AI publications from 2010 to 2021, increasing 5x since 2010. Read more:

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  19. Mar 17

    ➡️ Language models are more capable than ever, but also more biased. New data shows that large language models are more capable of reflecting biases from their training data.

    1 reply . 2 retweets 2 likes
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  20. Mar 17

    What's new on the report?

    1 reply . 12 retweets 33 likes
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  21. Mar 17

    Where is research concentrated in AI? More scholars are focusing on pattern recognition and machine learning while less interested in natural language processing and linguistics. Find out more about the state of AI from this year's :

    1 reply . 13 retweets 22 likes
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