Bots Don't Cry

In this episode, I interview Dr. Ben Green about why data science isn't neutral, why everyday people NEED to understand it, and what social studies can teach data science. 
✨ Support my Podcast and get exclusive access: https://www.patreon.com/cw/CatharinaDoria 
📥 Send this to everyone you know. Knowledge is power!
This episode covers:
Why algorithms and data science are not neutral
How algorithms reproduce inequality and social injustice
Why data scientists are political actors
How to spot AI ethics washing and why human oversight isn't enough
How Big Tech prioritizes profit over people and why AI's future isn't inevitable
How we can fight algorithmic harm through regulation, collective action, and responsible AI development
PHEW, and that's it! 😮‍💨
I hope you learn a lot and ENJOY this episode!
Don't forget to subscribe and join me next TUESDAY for more AI literacy with leading critical AI experts.
And let me know down in the comments: WHAT WAS YOUR MAIN TAKEAWAY FROM THIS EPISODE?
EXTRA RESOURCES
📖 Join my AI Literacy Book Club and Community:
 https://theaisurvivalclub.com/
FOLLOW ME ON SOCIALS
📷 Instagram: https://www.instagram.com/cahdoria/reels/
▶️ YouTube: https://www.youtube.com/@cahdoria
📧 Substack: https://substack.com/@catharinadoria
GUEST RESOURCES
Personal site: https://www.benzevgreen.com/
Book: https://mitpress.mit.edu/9780262055703/algorithmic-realism/
LinkedIn: https://www.linkedin.com/in/benzevgreen 
Bluesky: https://bsky.app/profile/benzevgreen.bsky.social
Link to paper about how to fight against AI hype: https://ojs.aaai.org/index.php/AIES/article/view/43175

In this episode, I interview Dr. Dana Suskind about how AI is affecting children’s brains, how that affects how they think, learn, and grow, and what parents can do to protect them.  An absolute must-watch for parents, educators, and people supporting little humans to flourish!
📥 Send this to everyone you know. Knowledge is power!
✨ Support my Podcast and get exclusive access: https://www.patreon.com/cw/CatharinaDoria 
This episode covers:
Why the early years are so critical for brain development
How human interaction shapes children's brains, language, and emotional regulation
The risks of AI companions, chatbots, and AI toys for children
How AI could affect children's creativity, curiosity, and ability to build human relationships
The five warning signs parents should look out for in AI companions
Why children at different developmental stages face different AI risks
How parents can use the HOPE and DETECT frameworks to evaluate AI tools
What parents should ask schools before they introduce AI into the classroom
Practical steps families can take to protect children's development, starting today
PHEW, and that's it! 😮‍💨
I hope you learn a lot and ENJOY this episode!
Don't forget to subscribe and join me next TUESDAY for more AI literacy with leading critical AI experts.
And let me know down in the comments: 
WHAT WAS YOUR MAIN TAKEAWAY FROM THIS EPISODE?
EXTRA RESOURCES
📖 Join my AI Literacy Book Club and Community:
 https://theaisurvivalclub.com/
 
FOLLOW ME ON SOCIALS
📷 Instagram: https://www.instagram.com/cahdoria/reels/
▶️ YouTube: https://www.youtube.com/@cahdoria
📧 Substack: https://substack.com/@catharinadoria
GUEST RESOURCES
📚 Read Dr. Dana Suskind book Human Raised: https://humanraised.org/

In this episode, I interview Dr. Valerio Capraro about how Generative AI is changing how we think, make judgments, and understand ourselves, and why that could be REALLY dangerous for our society.
✨ Support the show and get exclusive access: https://www.patreon.com/cw/CatharinaDoria 
This episode covers:
How AI made the number of people saying “I DON'T KNOW” drop from 43% to just 3%.
How people became MORE confident but LESS accurate, with accuracy dropping from 27.5% to 9.2%.
The 7 key DIFFERENCES between HUMAN COGNITION and LLMs, and why understanding them matters.
WHY do humans trust machines? (Spoiler: it's about their fluency!)
What epistemia is and how AI makes us mistake what SOUNDS right for what IS right.
How AI can influence people's opinions and potentially push them in a particular political direction [plus a study that proves that!]
What LLMorphism is and why seeing ourselves as language models could lead to dehumanization and make us feel replaceable.
PHEW, and that's it! 😮‍💨
I hope you learn a lot and ENJOY this episode!
Don't forget to subscribe and join me next TUESDAY for more AI literacy with leading critical AI experts.
And let me know down in the comments: WHAT WAS YOUR MAIN TAKEAWAY FROM THIS EPISODE?
EXTRA RESOURCES
📖 Join my AI Literacy Book Club and Community:
 https://theaisurvivalclub.com/
FOLLOW ME ON SOCIALS
📷 Instagram: https://www.instagram.com/cahdoria/reels/
▶️ YouTube: https://www.youtube.com/@cahdoria
📧 Substack: https://substack.com/@catharinadoria
GUEST RESOURCES
📚 Read Dr. Valerio Capraro's research:
LLMorphism: When Humans Come to See Themselves as Language Models
AI Advice Suppresses People's Willingness to Say “I Don't Know,” Even When the Advice Is Wrong and Accuracy Is Incentivized
💼 Follow Dr. Valerio Capraro on LinkedIn:
 https://www.linkedin.com/in/valerio-capraro-675235a9/
PAPER MENTIONED: 
Biased AI writing assistants shift users’ attitudes on societal issues, https://www.science.org/doi/abs/10.1126/sciadv.adw5578?referrer=https%3A%2F%2Fwww.linkedin.com%2F

Did you vote for Sam Altman, Mark Zuckerberg, or Elon Musk? No? Me neither. So why are they (and other tech billionaires) deciding the future of AI and our democracy? 🤔
In this episode, I interview political philosopher Dr. Annette Zimmermann about what happens when a handful of tech billionaires control AI, and whether AI can ever be truly democratic.
✨ Support the show and get exclusive access: https://www.patreon.com/cw/CatharinaDoria
This episode covers:
Why political philosophy is essential to understanding what's happening with AI today.
The dangers of letting billionaires hold the power to create AI technologies.
How a small oligopoly of tech companies concentrates AI's benefits while spreading its risks and costs across all of us.
What is "AI exceptionalism" and why AI companies get to play by different rules than every other industry.
How tech CEOs shape political agendas, from Sam Altman's 2023 Senate hearing to the "AI arms race" narrative.
Why it's so important to understand that their discourse is POLITICAL and IDEOLOGICAL, and NOT factual.
The ideologies driving Silicon Valley today: effective altruism, effective accelerationism, and the rise of anti-democratic "dark enlightenment" thinking.
What "democracy washing" is, and the three traps to watch out for: the doomsday trap, the wishlist trap, and the arms race trap.
How everyday people can push back, from local bans on facial recognition to rejecting learned helplessness about AI.
What it would take for us to create democratic AI.
PHEW, and that's it! 😮‍💨
I hope you learn a lot and ENJOY!
Don't forget to subscribe and join me next TUESDAY for more AI literacy with leading critical AI experts. And let me know in the comments: WHAT WAS YOUR MAIN TAKEAWAY FROM THIS EPISODE? (And if you stayed until the end, you know what to do! 😉)
EXTRA RESOURCES:
 📖 Join my AI Literacy Book Club and Community:
 https://theaisurvivalclub.com/
Follow me on socials:
 📷 IG: https://www.instagram.com/cahdoria/reels/
📧 SUBSTACK: https://substack.com/@catharinadoria
GUEST RESOURCES:
 📘 BOOK: Democratizing AI by Dr. Annette Zimmermann
https://link.amazon/B0gbflcfM

In my first episode, I interview Dr. Emily M. Bender and Dr. Alex Hanna about the current AI hype in the industry and what everyday people should learn about LLM/Generative AI and AI agent technologies so big tech can't play them.
✨ Support the show and get exclusive access: https://www.patreon.com/cw/CatharinaDoria

This episode covers:
1. The technology behind Generative AI and AI agents (LLMs)
2. How LLMs are essentially probabilistic machines that predict tokens and assemble letters without understanding their meaning.
2. How AI agents are enhanced LLMs tasked with taking actions based on word predictions.
3. The fact that artificial intelligence cannot be sentient or conscious. 
4. How companies blame AI agents for their actions to dodge accountability and hype up their tech to attract funding.
5. The differences between AI doomers and AI boosters, along with the ideologies (TESCREAL) influencing AI today. 

PHEW, and that's it! 😮‍💨
I hope you learn a lot and ENJOY our first episode.

Don't forget to subscribe and join me next TUESDAY for more AI literacy with leading critical AI experts, and let me know down in the comments: WHAT WAS YOUR MAIN TAKE-AWAY FROM THIS EPISODE?

EXTRA RESOURCES:
📖 Join My AI Literacy Book Club and Community: 
https://theaisurvivalclub.com/ 
Follow me on socials:
📷 IG: https://www.instagram.com/cahdoria/reels/
📧 SUBSTACK: https://substack.com/@catharinadoria

GUEST RESOURCES:
PODCAST: https://dair-institute.org/maiht3k/
BOOK: THE AI CON: https://link.amazon/B01VJl9DSHow to talk about "AI" without adding to the anthropomorphization: https://buttondown.com/maiht3k/archive/how-to-talk-about-ai-without-adding-to-the/