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  3. Loads of chat and even discourse about so-called AI literacy, but I don't think most realise you need to teach things from quite a few angles and zoomed out.

Loads of chat and even discourse about so-called AI literacy, but I don't think most realise you need to teach things from quite a few angles and zoomed out.

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  • olivia@scholar.socialO This user is from outside of this forum
    olivia@scholar.socialO This user is from outside of this forum
    olivia@scholar.social
    wrote last edited by
    #1

    RE: https://scholar.social/@olivia/116357032470708831

    Loads of chat and even discourse about so-called AI literacy, but I don't think most realise you need to teach things from quite a few angles and zoomed out.

    If people want to just know how the models work, that's not always possible without a much wider base anyway...

    Our offering below:

    1/n

    olivia@scholar.socialO f_spin@mastodon.socialF 2 Replies Last reply
    1
    0
    • olivia@scholar.socialO olivia@scholar.social

      RE: https://scholar.social/@olivia/116357032470708831

      Loads of chat and even discourse about so-called AI literacy, but I don't think most realise you need to teach things from quite a few angles and zoomed out.

      If people want to just know how the models work, that's not always possible without a much wider base anyway...

      Our offering below:

      1/n

      olivia@scholar.socialO This user is from outside of this forum
      olivia@scholar.socialO This user is from outside of this forum
      olivia@scholar.social
      wrote last edited by
      #2

      Also I know a lot of people crave an answer to how they work that extends beyond the maths anyway (even if they don't realise it).

      But consider why these descriptions aren't enough about artificial neural networks, but petrol go in piston move wheel spin is enough for cars?

      Link Preview Image
      Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

      Attached: 1 image @andrea Importantly, to avoid terminological confusions — not everybody in psychology uses or is expert on what ANNs are — but also often proponents cultivate purposeful mystification and obfuscation: Artificial neural networks are mathematical objects implemented on computers https://doi.org/10.1037/rev0000591 6/n

      favicon

      Scholar Social (scholar.social)

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      olivia@scholar.socialO 1 Reply Last reply
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      • olivia@scholar.socialO olivia@scholar.social

        Also I know a lot of people crave an answer to how they work that extends beyond the maths anyway (even if they don't realise it).

        But consider why these descriptions aren't enough about artificial neural networks, but petrol go in piston move wheel spin is enough for cars?

        Link Preview Image
        Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

        Attached: 1 image @andrea Importantly, to avoid terminological confusions — not everybody in psychology uses or is expert on what ANNs are — but also often proponents cultivate purposeful mystification and obfuscation: Artificial neural networks are mathematical objects implemented on computers https://doi.org/10.1037/rev0000591 6/n

        favicon

        Scholar Social (scholar.social)

        2/n

        olivia@scholar.socialO This user is from outside of this forum
        olivia@scholar.socialO This user is from outside of this forum
        olivia@scholar.social
        wrote last edited by
        #3

        I have a lot of thoughts as to what this means, but it's too long form for here and I will share in due course. But trust me, for adults for sure, that's enough. And if any of those words confuses you, Wikipedia is very good for mathematical concepts.

        3/n

        olivia@scholar.socialO 1 Reply Last reply
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        • olivia@scholar.socialO olivia@scholar.social

          I have a lot of thoughts as to what this means, but it's too long form for here and I will share in due course. But trust me, for adults for sure, that's enough. And if any of those words confuses you, Wikipedia is very good for mathematical concepts.

          3/n

          olivia@scholar.socialO This user is from outside of this forum
          olivia@scholar.socialO This user is from outside of this forum
          olivia@scholar.social
          wrote last edited by
          #4

          The real AI literacy is not to understand any specific maths.

          Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

          CAIL = prerequisite knowledge for a critical perspective, such as to tell apart nonsense hype from true theoretical computer scientific claims. For example, the idea that human-like systems are a sensible or possible goal is the result of circular reasoning and anthropomorphism. https://olivia.science/ai

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          Scholar Social (scholar.social)

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          olivia@scholar.socialO 1 Reply Last reply
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          • olivia@scholar.socialO olivia@scholar.social

            The real AI literacy is not to understand any specific maths.

            Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

            CAIL = prerequisite knowledge for a critical perspective, such as to tell apart nonsense hype from true theoretical computer scientific claims. For example, the idea that human-like systems are a sensible or possible goal is the result of circular reasoning and anthropomorphism. https://olivia.science/ai

            favicon

            Scholar Social (scholar.social)

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            olivia@scholar.socialO This user is from outside of this forum
            olivia@scholar.socialO This user is from outside of this forum
            olivia@scholar.social
            wrote last edited by
            #5

            Some of critical AI literacy is to understand the purposeful dodging of semantic clarity: https://scholar.social/@olivia/115157825722674869

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            olivia@scholar.socialO 1 Reply Last reply
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            • olivia@scholar.socialO olivia@scholar.social

              Some of critical AI literacy is to understand the purposeful dodging of semantic clarity: https://scholar.social/@olivia/115157825722674869

              5/

              olivia@scholar.socialO This user is from outside of this forum
              olivia@scholar.socialO This user is from outside of this forum
              olivia@scholar.social
              wrote last edited by
              #6

              Some of critical AI literacy is to spot how thinking in any serious or meaningful way has broken down and instead non-arguments or just pure nonsense are presented as sensible statements. If this is done constantly critical thinking itself stops happening...

              Link Preview Image
              Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

              Attached: 1 image 4. the disregard for the corrosive power of anthropomorphism, which is taken advantage of by industry to sell & steal our data, in the base case scenario, and in the worst to abuse and push vulnerable groups to dependance and worse. (Section 3.4 here https://doi.org/10.5281/zenodo.17065099) 6/n

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              olivia@scholar.socialO 1 Reply Last reply
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              • olivia@scholar.socialO olivia@scholar.social

                Some of critical AI literacy is to spot how thinking in any serious or meaningful way has broken down and instead non-arguments or just pure nonsense are presented as sensible statements. If this is done constantly critical thinking itself stops happening...

                Link Preview Image
                Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                Attached: 1 image 4. the disregard for the corrosive power of anthropomorphism, which is taken advantage of by industry to sell & steal our data, in the base case scenario, and in the worst to abuse and push vulnerable groups to dependance and worse. (Section 3.4 here https://doi.org/10.5281/zenodo.17065099) 6/n

                favicon

                Scholar Social (scholar.social)

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                olivia@scholar.socialO This user is from outside of this forum
                olivia@scholar.socialO This user is from outside of this forum
                olivia@scholar.social
                wrote last edited by
                #7

                Some of critical AI literacy is to say "hey, you know not all computers pollute or are AI nonsense machines?"

                It's not that everyone specifically needs to decolonise computation actively immediately, but just to take a first step and learn to look around us properly.

                🐯 Tipu's tiger is amazing; sadly stolen & now in the V&A, created in India & depicting a tiger mauling an English man.

                7/

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                olivia@scholar.socialO 1 Reply Last reply
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                • olivia@scholar.socialO olivia@scholar.social

                  Some of critical AI literacy is to say "hey, you know not all computers pollute or are AI nonsense machines?"

                  It's not that everyone specifically needs to decolonise computation actively immediately, but just to take a first step and learn to look around us properly.

                  🐯 Tipu's tiger is amazing; sadly stolen & now in the V&A, created in India & depicting a tiger mauling an English man.

                  7/

                  Link Preview ImageLink Preview ImageLink Preview ImageLink Preview Image
                  olivia@scholar.socialO This user is from outside of this forum
                  olivia@scholar.socialO This user is from outside of this forum
                  olivia@scholar.social
                  wrote last edited by
                  #8

                  Also the antikythera mechanism and the Mayan calendar, both ways of modelling time passing, the earth and planets, and sun, etc. are wonderful examples of again computers with no pollution inherently and fun for kids:

                  See more: https://maya.nmai.si.edu/sites/default/files/resources/The%20Maya%20Calendar%20System.pdf
                  https://www.mayaarchaeologist.co.uk/public-resources/maya-world/maya-calendar-system/

                  8/

                  olivia@scholar.socialO 1 Reply Last reply
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                  • olivia@scholar.socialO olivia@scholar.social

                    Also the antikythera mechanism and the Mayan calendar, both ways of modelling time passing, the earth and planets, and sun, etc. are wonderful examples of again computers with no pollution inherently and fun for kids:

                    See more: https://maya.nmai.si.edu/sites/default/files/resources/The%20Maya%20Calendar%20System.pdf
                    https://www.mayaarchaeologist.co.uk/public-resources/maya-world/maya-calendar-system/

                    8/

                    olivia@scholar.socialO This user is from outside of this forum
                    olivia@scholar.socialO This user is from outside of this forum
                    olivia@scholar.social
                    wrote last edited by
                    #9

                    For older learners, yes there are important steps to take including self-reflection such as in this work with @abebab — self-critical AI literacy:

                    Birhane, A. & Guest, O. (2021). Towards Decolonising Computational Sciences. Women, Gender & Research. https://doi.org/10.7146/kkf.v29i2.124899

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                    olivia@scholar.socialO 1 Reply Last reply
                    0
                    • olivia@scholar.socialO olivia@scholar.social

                      For older learners, yes there are important steps to take including self-reflection such as in this work with @abebab — self-critical AI literacy:

                      Birhane, A. & Guest, O. (2021). Towards Decolonising Computational Sciences. Women, Gender & Research. https://doi.org/10.7146/kkf.v29i2.124899

                      9/

                      Link Preview ImageLink Preview Image
                      olivia@scholar.socialO This user is from outside of this forum
                      olivia@scholar.socialO This user is from outside of this forum
                      olivia@scholar.social
                      wrote last edited by
                      #10

                      Also another thing for teachers of programming is this — think about how, who, and what you teach and why to and whom. Women like computers too:

                      Link Preview Image
                      Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                      Attached: 4 images Excited to share this short & sweet article I wrote with @samhforbes! Teaching coding inclusively: if this, then what? https://doi.org/10.31235/osf.io/3r2ez The title perhaps says it all; we show through arguments and examples what women experience in programming class and what to do to remedy it.

                      favicon

                      Scholar Social (scholar.social)

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                      olivia@scholar.socialO 1 Reply Last reply
                      0
                      • olivia@scholar.socialO olivia@scholar.social

                        Also another thing for teachers of programming is this — think about how, who, and what you teach and why to and whom. Women like computers too:

                        Link Preview Image
                        Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                        Attached: 4 images Excited to share this short & sweet article I wrote with @samhforbes! Teaching coding inclusively: if this, then what? https://doi.org/10.31235/osf.io/3r2ez The title perhaps says it all; we show through arguments and examples what women experience in programming class and what to do to remedy it.

                        favicon

                        Scholar Social (scholar.social)

                        10/

                        olivia@scholar.socialO This user is from outside of this forum
                        olivia@scholar.socialO This user is from outside of this forum
                        olivia@scholar.social
                        wrote last edited by
                        #11

                        respecting expertise, and I mean all kinds, is something that degrades significantly under rising fascism... so many depressing and war crime/crimes against humanity-related examples in/from the USA lately https://scholar.social/@olivia/116357060362504588

                        11/

                        olivia@scholar.socialO 1 Reply Last reply
                        0
                        • olivia@scholar.socialO olivia@scholar.social

                          respecting expertise, and I mean all kinds, is something that degrades significantly under rising fascism... so many depressing and war crime/crimes against humanity-related examples in/from the USA lately https://scholar.social/@olivia/116357060362504588

                          11/

                          olivia@scholar.socialO This user is from outside of this forum
                          olivia@scholar.socialO This user is from outside of this forum
                          olivia@scholar.social
                          wrote last edited by
                          #12

                          it's also happening WITHIN science, e.g. https://scholar.social/@olivia/115315385419626564

                          notice how we say:

                          > assuming the mantle of the non-expert is innapropriate

                          12/

                          olivia@scholar.socialO 1 Reply Last reply
                          0
                          • olivia@scholar.socialO olivia@scholar.social

                            it's also happening WITHIN science, e.g. https://scholar.social/@olivia/115315385419626564

                            notice how we say:

                            > assuming the mantle of the non-expert is innapropriate

                            12/

                            olivia@scholar.socialO This user is from outside of this forum
                            olivia@scholar.socialO This user is from outside of this forum
                            olivia@scholar.social
                            wrote last edited by
                            #13

                            also for academics, they need to take certain facts seriously on LLMs:

                            1️⃣ LLMs are usefully seen as lossy content-addressable systems

                            2️⃣ we can't automatically detect plagiarism

                            3️⃣ LLMs automate plagiarism & paper mills

                            4️⃣ we must protect literature from pollution

                            5️⃣ LLM use is a CoI

                            6️⃣ prompts do not cause output in authorial sense

                            https://doi.org/10.31234/osf.io/dkrgj_v1

                            13/

                            olivia@scholar.socialO L 2 Replies Last reply
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                            • olivia@scholar.socialO olivia@scholar.social

                              also for academics, they need to take certain facts seriously on LLMs:

                              1️⃣ LLMs are usefully seen as lossy content-addressable systems

                              2️⃣ we can't automatically detect plagiarism

                              3️⃣ LLMs automate plagiarism & paper mills

                              4️⃣ we must protect literature from pollution

                              5️⃣ LLM use is a CoI

                              6️⃣ prompts do not cause output in authorial sense

                              https://doi.org/10.31234/osf.io/dkrgj_v1

                              13/

                              olivia@scholar.socialO This user is from outside of this forum
                              olivia@scholar.socialO This user is from outside of this forum
                              olivia@scholar.social
                              wrote last edited by
                              #14

                              Some of critical AI literacy is to say "did you know we can do science without so much interpersonal and structural harm?"

                              The actual best source for all of this is Isabelle Stengers — and NO it's not just about slowing down and she in fact critiques that strongly in her book:

                              favicon

                              (www.politybooks.com)

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                              olivia@scholar.socialO 1 Reply Last reply
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                              • olivia@scholar.socialO olivia@scholar.social

                                Some of critical AI literacy is to say "did you know we can do science without so much interpersonal and structural harm?"

                                The actual best source for all of this is Isabelle Stengers — and NO it's not just about slowing down and she in fact critiques that strongly in her book:

                                favicon

                                (www.politybooks.com)

                                14/

                                olivia@scholar.socialO This user is from outside of this forum
                                olivia@scholar.socialO This user is from outside of this forum
                                olivia@scholar.social
                                wrote last edited by
                                #15

                                Slow science is centred on RECLAIMING the present to save the future from foreclosure, another thing AI fascists require. We push back against this fully because for all but fascists it's existential: we want to survive in the here and now and not destroy the planet, etc.

                                Link Preview Image
                                Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                                Attached: 2 images We end on "Machine Yearning for a Better Present" because why can't we dream? Why accept that universities are not places of learning? Nothing, except industry and their paid shills amongst us, force us to accept this & this force is not one of reason, but one of regressive values & profit. https://doi.org/10.5281/zenodo.17065099 10/n

                                favicon

                                Scholar Social (scholar.social)

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                                olivia@scholar.socialO stephaniemoore@mastodon.onlineS 2 Replies Last reply
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                                • olivia@scholar.socialO olivia@scholar.social

                                  Slow science is centred on RECLAIMING the present to save the future from foreclosure, another thing AI fascists require. We push back against this fully because for all but fascists it's existential: we want to survive in the here and now and not destroy the planet, etc.

                                  Link Preview Image
                                  Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                                  Attached: 2 images We end on "Machine Yearning for a Better Present" because why can't we dream? Why accept that universities are not places of learning? Nothing, except industry and their paid shills amongst us, force us to accept this & this force is not one of reason, but one of regressive values & profit. https://doi.org/10.5281/zenodo.17065099 10/n

                                  favicon

                                  Scholar Social (scholar.social)

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                                  olivia@scholar.socialO This user is from outside of this forum
                                  olivia@scholar.socialO This user is from outside of this forum
                                  olivia@scholar.social
                                  wrote last edited by
                                  #16

                                  Slow science also lets you do your work in peace so the excuse of "forgetting" to cite women is out the window...

                                  Link Preview Image
                                  Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                                  Attached: 1 image I wrote something (not directly about AI) on cryptogyny — sorry still depressing, BUT ☺️ I do end on actionable things and some fun examples along the way, such as "Comparing [the 108 women scholars until 1800] with 58,995 [men], we find that they were on average better"‼️ https://olivia.science/cryptogyny

                                  favicon

                                  Scholar Social (scholar.social)

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                                  olivia@scholar.socialO phillmv@hachyderm.ioP 2 Replies Last reply
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                                  • olivia@scholar.socialO olivia@scholar.social

                                    Slow science also lets you do your work in peace so the excuse of "forgetting" to cite women is out the window...

                                    Link Preview Image
                                    Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                                    Attached: 1 image I wrote something (not directly about AI) on cryptogyny — sorry still depressing, BUT ☺️ I do end on actionable things and some fun examples along the way, such as "Comparing [the 108 women scholars until 1800] with 58,995 [men], we find that they were on average better"‼️ https://olivia.science/cryptogyny

                                    favicon

                                    Scholar Social (scholar.social)

                                    16/

                                    olivia@scholar.socialO This user is from outside of this forum
                                    olivia@scholar.socialO This user is from outside of this forum
                                    olivia@scholar.social
                                    wrote last edited by
                                    #17

                                    Which of course by the way OF COURSE is no excuse at all, but a systematic exclusion — mutatis mutandis for people of colour and more — cryptogyny, the hiding of women's contributions to science, technology, engineering, and medicine:

                                    "although three men received the Nobel Prize for penicillin, women participated significantly in the team effort that brought the drug to medical usefulness."

                                    Link Preview Image
                                    JSTOR: Access Check

                                    JSTOR is a digital library of academic journals, books, and primary sources.

                                    favicon

                                    (www.jstor.org)

                                    17/

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                                    olivia@scholar.socialO 1 Reply Last reply
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                                    • olivia@scholar.socialO olivia@scholar.social

                                      Which of course by the way OF COURSE is no excuse at all, but a systematic exclusion — mutatis mutandis for people of colour and more — cryptogyny, the hiding of women's contributions to science, technology, engineering, and medicine:

                                      "although three men received the Nobel Prize for penicillin, women participated significantly in the team effort that brought the drug to medical usefulness."

                                      Link Preview Image
                                      JSTOR: Access Check

                                      JSTOR is a digital library of academic journals, books, and primary sources.

                                      favicon

                                      (www.jstor.org)

                                      17/

                                      Link Preview Image
                                      olivia@scholar.socialO This user is from outside of this forum
                                      olivia@scholar.socialO This user is from outside of this forum
                                      olivia@scholar.social
                                      wrote last edited by
                                      #18

                                      anyway ending on Ada since she started Critical AI Literacy in the 1840s

                                      Link Preview Image
                                      Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

                                      Attached: 2 images "The Analytical Engine has no pretensions whatever to originate any thing. It can do whatever we know how to order it to perform. It [cannot] anticipat[e] any analytical relations or truths. Its province is to assist us in making available what we are already acquainted with." — Ada Lovelace, 1843 https://archive.org/details/adaenchantressof00tool/page/n191/mode/2up

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                                      • olivia@scholar.socialO olivia@scholar.social

                                        RE: https://scholar.social/@olivia/116357032470708831

                                        Loads of chat and even discourse about so-called AI literacy, but I don't think most realise you need to teach things from quite a few angles and zoomed out.

                                        If people want to just know how the models work, that's not always possible without a much wider base anyway...

                                        Our offering below:

                                        1/n

                                        f_spin@mastodon.socialF This user is from outside of this forum
                                        f_spin@mastodon.socialF This user is from outside of this forum
                                        f_spin@mastodon.social
                                        wrote last edited by
                                        #19

                                        Wow!, thank you very much @olivia & colleagues for this amazing work.

                                        I don't have words to express my gratitude. I'm trying to educate myself on this matter so I can pass through all what I learn to folks I work with and other that are less inclined to use "tech".

                                        And very often I can't find the right words to express why or how a lot of our IT assumptions are based on false premises and propaganda.

                                        Your work, folks, throw a lot of light on all this matters. Again: thank you very much!

                                        olivia@scholar.socialO 1 Reply Last reply
                                        0
                                        • olivia@scholar.socialO olivia@scholar.social

                                          also for academics, they need to take certain facts seriously on LLMs:

                                          1️⃣ LLMs are usefully seen as lossy content-addressable systems

                                          2️⃣ we can't automatically detect plagiarism

                                          3️⃣ LLMs automate plagiarism & paper mills

                                          4️⃣ we must protect literature from pollution

                                          5️⃣ LLM use is a CoI

                                          6️⃣ prompts do not cause output in authorial sense

                                          https://doi.org/10.31234/osf.io/dkrgj_v1

                                          13/

                                          L This user is from outside of this forum
                                          L This user is from outside of this forum
                                          luminos@eupolicy.social
                                          wrote last edited by
                                          #20

                                          @olivia

                                          > 5️⃣ LLM use is a CoI

                                          What is a "CoI"? Is there some part of a word missing?

                                          Thanks for the thread. You raised some important points.

                                          olivia@scholar.socialO 1 Reply Last reply
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