AI Citations Resources!

Here's an interesting fact: 🎙️Women = 70% of teachers globally (UNESCO, 2023), yet they hold less than 25% of leadership roles in tech (World Economic Forum, 2024). When we zoom in on AI leadership, the numbers drop even further—only 12% of AI researchers and 16% of AI faculty positions are held by women (Stanford AI Index, 2023). Think about this as it relates to WHO controls the narrative on women's involvement with AI? In my thousands of hours of research in generative artificial intelligence (gAI), there's a glaring bias and misrepresentation of female voices. Don't just believe my word for it, take a look at these articles:

There Is No Standard: Investigation Finds AI Algorithims Objectify Women's Bodies

Artificial intelligence in education: Understanding its impact and ethical implications in K-12 learning environments.

Are AI Hiring Tools Racist or Ableist?

If you let the data tell it, "this is a man's world." But as the rest of the song lyric goes, "but it would be nothing, NOTHING, without a woman or a girl." Thank you, Ancestor James Brown. Here's a friendly reminder of the woman's contribution to this life.

I've been a "woman in tech" for the last 13 years (24 yrs if you include teaching myself HTML code in 2001). I have fought tooth and nail to have a platform in the business, and though I have tangible receipts, the opportunities trickle in just slowly enough to where my ability to create the wealth I deserve, in a field I'm passionate about, lies just beyond my grasp--but I have hope and plans.

True to my credence, I'll tackle one of the most pressing issues I encounter when I speak about gAI to my conference attendees: citing AI sources that have been trained on our data. I can't demand gAI companies reveal the algorithms used to train their LLMs (large language model computers) in an effort of full transparency (i.e. was it siphoned, unauthorized data, consent-given data, or manufactured dataset skewed to produce a specific outcome?). But I can create as much transparency as possible in citing the data produced by gAI.

Therefore, as a gift to anyone incorporating AI usage into their library instructional strategies, I've created a presentation to help you with charting unchartered waters. Below is a brief introduction into what I think are essentials for citing AI sources. Think of the following as the short version, covering the highlights:



And, this more detailed Google Slides presentation for class instructional purposes the LONG version:



Since I love to share resources, I thought this graphic from BrightAI useful for educators:

Like AI, our minds process vast amounts of information and sometimes get things wrong. But unlike AI, we can pause, reflect, and intentionally reframe our thoughts. Anchoring helps us regain clarity, process emotions effectively, and navigate challenges with purpose. #EduSky #EduSkyAI #AIinEducation

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— BrightMinds- AI (@brightminds-ai.bsky.social) March 15, 2025 at 9:34 PM

And because I love creating stickers and ending on a positive note, here's a freebie from MicrosoftDesign:

Which would've been great, had it not mispelled "citation." (Do better, MicrosoftDesigns.😒) So please enjoy this sticker instead:

Happy Women's Herstory Month to all the heroines, She-EOs (a riff on CEO), Mothers, Aunties and Female, Respected and Empowered Entrepreneurs (FREE) out here!✨