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.

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