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Having 4 types of arguments ready makes sure you hit the 4 main audiences. Tell them how it helps ppl, how it makes them look good, how the data shows SLs improve outcomes, and how SLs fix problems. @MrChrastka @EveryLibrary #njasl21 #njaslfall21

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"'Show me your budget and I'll show you your values.' If they've said anything about equity, SEL, college and career readiness, then the school library has an' in'." @MrChrastka from @EveryLibrary

#njasl21 #njaslfall21 @NJASL

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Consider ways to reposition the school library within the budget to potentially increase funding. Think about allying and coordinating with the technology department. @MrChrastka #njasl21 #njaslfall21

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Hope to see ya'll there!
#njasl21 #njaslfall21

x.com/NJASL/status/1…

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I found an iMuffin!

Didn't realize Apple had gone into the pastry business...

What CAN'T you learn at #NJASLFALL21?

😂

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Relationships w/ students, parents, & community are vital for #SchoolLibrarians at a time when budgets and book challenges are working against SLs. Having allies to stand up for the importance of #SchoolLibraries can make the difference. @elissamalespina @spaul6414 #njaslfall21

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Excellent checklist to help students (and adults!) spot images with incorrect labelling designed to mislead! From @juliegoldberg #njaslfall21 @NJASL

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Despite what the meme claims, this is not tourists flooding NYC in March 2021 after mask restrictions were lifted - check out the palm trees! @juliegoldberg #njaslfall21 @NJASL

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It's super-easy to label things incorrectly to mislead the audience. But common sense can help figure out the truth. @juliegoldberg #njaslfall21 @NJASL

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Great #InformationLiteracy tips from @juliegoldberg - "Yes, news can be upsetting, but is it being presented in a way to make you feel an even stronger emotional reaction?"

#njaslfall21 @njasl

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#InformationLiteracy Step 1 - Start with the basics! From @juliegoldberg #njaslfall21 @NJASL

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"We want students to have a healthy skepticism, but not a defeated cynicism" about online info. @juliegoldberg #njaslfall21 @NJASL

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Learning from @gmgarnet during #njaslfall21 - such an interesting topic! AI is part of our present and our future - we need to be aware of at least the basics.

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AI, Ain't I A Woman? - Joy Buolamwini
AI, Ain't I A Woman? - Joy Buolamwini www.poetofcode.com Poet of Code shares "AI, Ain't I A Woman " - a spoken word piece that highlights the ways in which artificial intelligence can misinterpret the images of iconic black women: Oprah, Serena Williams, Michelle Obama, Sojourner Truth, Ida B. Wells, and Shirley Chisholm AI, Ain't I A Woman - Full Poem My heart smiles as I bask in their legacies Knowing their lives have altered many destinies In her eyes, I see my mother's poise In her face, I glimpse my auntie's grace In this case of deja vu  A 19th century question comes into view In a time, when Sojourner truth asked "Ain't I a woman?" Today, we pose this question to new powers Making bets on artificial intelligence, hope towers The Amazonians peek through Windows blocking Deep Blues As Faces increment scars Old burns, new urns Collecting data chronicling our past  Often forgetting to deal with  Gender race and class, again I ask "Ain't I a Woman?" Face by face the answers seem uncertain Young and old, proud icons are dismissed Can machines ever see my queens as I view them? Can machines ever see our grandmothers as we knew them? Ida B. Wells, data science pioneer Hanging facts, stacking stats on the lynching of humanity Teaching truths hidden in data Each entry and omission, a person worthy of respect Shirley Chisholm, unbought and unbossed The first black congresswoman But not the first to be misunderstood by machines Well-versed in data drive mistakes Michelle Obama, unabashed and unafraid To wear her crown of history Yet her crown seems a mystery To systems unsure of her hair A wig, a bouffant, a toupee? May be not Are there no words for our braids and our locks? Does sunny skin and relaxed hair Make Oprah the first lady? Even for her face well-known Some algorithms fault her Echoing sentiments that strong women are men We laugh celebrating the successes  Of our sisters with Serena smiles No label is worthy of our beauty.

Bias in AI can cause discriminatory outcomes in supposedly standardized programs for legal review systems, health care systems, and more.

We - and our students - need to know as AI becomes more prevalent.@njasl #njaslfall21

youtu.be/QxuyfWoVV98

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