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NLP for Social Good Symposium at University of Liverpool -- Closing Remarks

NLP for Social Good Symposium at University of Liverpool -- Closing Remarks

This is the closing remarks that I gave at the NLP for Social Good Symposium at University of Liverpool.

Danushka Bollegala

June 10, 2023
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  1. NLP for Social Good Symposium
    Danushka Bollegala

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  2. Thank you!
    • 6 invited speakers


    • 160+ pa
    rt
    icipants! (online + in-person)


    • Funding/Suppo
    rt

    • Depa
    rt
    ment of Computer Science, University of Liverpool


    • Organisers


    • Procheta Sen, Tulika Saha
    2

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  3. Why talk about Social Good?
    3
    Images created by DALL-E (OpenAI)
    h
    tt
    ps://www.vice.com/en/a
    rt
    icle/wxdawn/the-ai-that-draws-what-you-type-is-very-racist-shocking-no-one

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  4. Why talk about Social Good?
    4
    Images generated by DALL-E (OpenAI)

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  5. Is AI Socially Biased?
    5
    Images generated by Stable Di
    ff
    usion (Stability.AI)
    “Janitor”
    “Asse
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    ive Fire
    fi
    ghter”
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    tt
    ps://techpolicy.press/researchers-
    fi
    nd-stable-di
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    usion-ampli
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    es-stereotypes/

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  6. Why talk about Social Good?
    6

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  7. Why talk about Social Good?
    7

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  8. I
    8

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  10. My take on “existential threats” of AI
    10

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  11. My take on “existential threats” of AI
    • What I hear…
    10

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  12. My take on “existential threats” of AI
    • What I hear…
    • We will loose our jobs…
    10

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  13. My take on “existential threats” of AI
    • What I hear…
    • We will loose our jobs…
    • AI will take over humans…
    10

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  14. My take on “existential threats” of AI
    • What I hear…
    • We will loose our jobs…
    • AI will take over humans…
    • NLP is over (with ChatGPT)
    10

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  15. My take on “existential threats” of AI
    • What I hear…
    • We will loose our jobs…
    • AI will take over humans…
    • NLP is over (with ChatGPT)
    • My PhD research topic is over…
    10

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  16. What we (NLP researchers) should do
    11

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  17. What we (NLP researchers) should do
    • Be realistic


    • Look at the real threats that would otherwise get overlooked
    because of the hyped threats.
    11

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  18. What we (NLP researchers) should do
    • Be realistic


    • Look at the real threats that would otherwise get overlooked
    because of the hyped threats.
    • Be responsible


    • If you believe there is a non-zero probability of a risk, think what
    you can do to address it.
    11

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  19. What we (NLP researchers) should do
    • Be realistic


    • Look at the real threats that would otherwise get overlooked
    because of the hyped threats.
    • Be responsible


    • If you believe there is a non-zero probability of a risk, think what
    you can do to address it.
    • Be optimistic


    • We will get extinct very soon… anyway
    11

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  20. Al learns from its mistakes (unlike humans)
    12

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  21. 13

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