Have you been told that AI is coming for your job? That’s not the real threat.

In this episode of Straight Outta Tokens, AI researcher and systems thinker Stojanka “Jo” Berry explains why the greatest risk most people face isn’t being replaced by AI—it’s being replaced by someone who knows how to use it better.

As AI tools quietly embed themselves into classrooms, offices, and everyday workflows, a dangerous gap is emerging between those who treat AI like a shortcut and those who understand it as a system. Jo breaks down why using AI without understanding it creates professional, legal, and ethical consequences—and why AI literacy is rapidly becoming a baseline job skill.

This episode isn’t about hype or fear. It’s about what’s already happening—and who is being left behind.

🎧 In this episode:

• Why AI is not just a replacement for a Google search—and why treating it like one limits its value
• How AI-augmented workers are already outperforming non-augmented peers
• What the 2025 Deloitte AI scandal reveals about hallucinations and accountability
• Why lack of AI literacy turns employees into legal and reputational risks
• How “shadow AI” use threatens jobs, data, and intellectual property
• Why banning AI in schools and workplaces deepens inequity
• What intentional, human-led AI use actually looks like

💡 Why It Matters

AI doesn’t eliminate jobs on its own. People who know how to work with AI replace those who don’t.

Generative AI can fabricate authority, generate convincing misinformation, and mishandle sensitive data—all while sounding confident. Without AI literacy, users can’t tell when a system is supporting their work versus quietly undermining it.

This episode explains why AI literacy is no longer optional—not for technologists, but for anyone who wants to remain relevant, credible, and employable in a rapidly changing world.

📎 Links & Resources

• Find me on LinkedIn
• aicitationstandard.org

👤 About the Host

Stojanka “Jo” Berry is an AI researcher, educator, and the creator of the Artificial Intelligence Citation Standard (AICS)—a universal attribution framework designed to bring transparency, accountability, and human-first ethics to generative AI use.

This podcast was written, produced, edited, and published by a human, Jo Berry, with the help of AI tools. Please see the AICS-compliant citations for documentation of cocreation processes and tool usage.

🧠 Artificial Intelligence Citation Standard (AICS) Compliant Citations

Podcast segment development and rhetorical refinement for AI literacy messaging. OpenAI, drafting and iteration. (16 November, 2025). Berry, Stojanka. OpenAI, GPT-5.1. Cocreator. Business. English, United States.

Podcast episode description development and title-aligned revision for “AI Won’t Replace You. Someone Using AI Will.” ChatGPT, drafting and iterating. (22 December, 2025). Berry, Stojanka. OpenAI, GPT-5.2. Augmentor. Business. 05:18 UTC. English, United States.

👉 Subscribe to Straight Outta Tokens for real-world stories, sharp analogies, and practical strategies for navigating the breakdowns and breakthroughs of generative AI.

(C) Stojanka Berry LLC, 2025. All rights reserved.

Have you ever trusted an AI system… only to realize it was confidently wrong?

In this episode of Straight Outta Tokens, AI researcher and systems thinker Stojanka “Jo” Berry unpacks a hard truth: today’s generative AI models make false promises about what they can do—and most users have no idea they’re being misled.

From classrooms to offices, millions are relying on AI tools that sound authoritative but can’t verify their own claims. And when those tools lie, it’s humans—students, teachers, employees—who pay the price.

This isn’t just about bad outputs or buggy code. It’s about the cost of believing technology that can’t tell the truth about its own capabilities.

🎧 In this episode:

• Why AI tools make false promises about what they can do

• How hallucinations and misinformation undermine trust and learning
• The ethical responsibility of AI companies to stop selling lies
• Why average users are being forced to become “AI experts”
• The role critical thinking in AI use
• How misplaced faith in AI has real human consequences
• What it will take to build better AI systems

💡 Why It Matters

Most people using AI today don’t realize how easily these systems mislead us. When generative tools confidently fabricate information, skip verifying that what they want to say they can do can actually be done, and present speculation as fact, they create an illusion of competence that erodes genuine human judgment.

This episode breaks down why AI literacy isn’t optional—it’s a survival skill in a world where technology speaks like an authority but operates without accountability because "AI can make mistakes."

📎 Links & Resources

• Find me on LinkedIn
• aicitationstandard.org

👤 About the Host

Stojanka “Jo” Berry is an AI researcher, educator, and the creator of the Artificial Intelligence Citation Standard (AICS)—a universal attribution framework designed to bring transparency, accountability, and human-first ethics to generative AI use.

This podcast was written, produced, edited, and published by a human, Jo Berry, with the help of AI tools. Please see the AICS-compliant citations for documentation of cocreation processes and tool usage.

🧠 Artificial Intelligence Citation Standard Compliant Citation

Creating a Podcast Episode Description and Outtro for “AI Literacy and Critical Thinking.” ChatGPT, Drafting and Iterating. (23 October 2025). Berry, Stojanka. OpenAI, Business Tier, GPT-5. Augmentor. 05:42 PM UTC. English, United States.

👉 Subscribe to Straight Outta Tokens for real-world stories, sharp analogies, and practical strategies for navigating the breakdowns and breakthroughs of generative AI.

(C) Stojanka Berry LLC, 2025. All rights reserved.

What happens when AI generates a deliverable—who gets the credit, the human or the AI?

In this episode of Straight Outta Tokens, AI researcher and systems strategist Stojanka “Jo” Berry explores the future of authorship, accountability, and collaboration in the age of generative AI.

At the center of this discussion is the Artificial Intelligence Citation Standard (AICS), a practical framework designed to disclose and evaluate human–AI contributions in real time. If you’ve ever wondered how you can prove your unique role in collaborating with AI to generate content, this episode gives you the tools and context you need.

🎧 In this episode:

• Why authorship is messy in the age of AI

• How AICS works as a framework for citating human–AI collaboration
• The SHAPE rubric: measuring human contribution beyond word edits
• Why institutions, educators, and publishers should be paying attention to AICS
• Real-world implications for research, teaching, and creating organizational AI policies
• How transparent attribution builds trust in creative and professional work

💡 Why It Matters From schools to small businesses to publishers, the rise of AI has blurred the lines of authorship. Without clear standards, humans who use AI risk losing credit and credibility for failing to disclose AI use, and organizations assume tremendous risks without effective AI policies.

AICS offers a path toward ethical, transparent, and human-first AI integration.

👤 About the Host

Stojanka “Jo” Berry is an AI researcher, educator, and the creator of the —a universal attribution framework helping individuals and organizations use generative AI with clarity, transparency, and human-first values.

This podcast was recorded live and written, produced, edited, and published by a human, Jo Berry, with the help of AI tools. Please see the AICS compliant citations for more information about how AI was used in the production of this podcast.

📎 Links & Resources

• Find me on LinkedIn
• aicitationstandard.org

🧠 Artificial Intelligence Citation Standard (AICS) Compliant Citations

Podcast description refinement for Straight Outta Tokens, Episode 2: Who Gets Credit for AI Work—Humans or Machines?. ChatGPT, Drafting, iterating, refining. (1 October 2025). Berry, Stojanka. OpenAI, GPT-5. Cocreator. Business Workspace. 20:12 UTC. English, United States.

Generating Stojanka’s AI-cloned voice narration for introduction for podcast Episode 2. 11ElevenLabs, Drafting & Refining. (1 October 2025). Berry, Stojanka. 11ElevenLabs, Flash v2.5. Cocreator. Pro Workspace. 17:14 UTC. English, United States.

Deep Dive audio overview generation with two hosts. NotebookLM, Drafting, Iterating, and Optimizing. (29 September 2025). Berry, Stojanka. Google, NotebookLM powered by Gemini 2.5 Pro. Cocreator. Pro. 01:46 UTC. English, United States.

Generating Stojanka’s AI-cloned voice narration for podcast Episode 2. 11ElevenLabs, Drafting, Iterating, and Refining. (29 September 2025). Berry, Stojanka. 11ElevenLabs, Flash v2.5. Cocreator. Pro Workspace. 02:15 UTC. English, United States.

Generating “Straight Outta Tokens” song. Suno AI, Drafting & Iterating. (8 May 2025). Berry, Stojanka. Suno, Inc., Tool. Paid. English, United States.

👉 Subscribe to Straight Outta Tokens for real-world stories, sharp analogies, and practical strategies for navigating the breakdowns and breakthroughs of generative AI.

(C) Stojanka Berry LLC, 2025. All rights reserved.