Authorship and originality in AI-Assisted Creative Work.

Hosted by Silali Banerjee

Sat, Jul 18, 2026

12:00 AM UTC (30 minutes)

Virtual (Zoom)

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User's framework for minimizing drift and genericity in open-ended AI response.
Silali Banerjee
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What you'll learn

Preserve your originality in your work

Preserve originality in your AI-assisted creative work.

Use AI just enough, not too little, not too much.

Leverage the speed and processing power of AI.

Get the best combination of AI power and human originality.

AI enhances your original work, not replace it.

Why this topic matters

AI work overall is moving toward human-AI collaboration, not full automation. For creative work specifically, letting a model generate freely from your tone doesn't produce original work at scale; it produces averaged approximations. Effective collaboration preserves originality while cutting the permission-seeking and editing fatigue that slow creators down, still using AI speed.

You'll learn from

Silali Banerjee

Advisor, Creator-110X Featured Images. Ex-SWE. Owner- shipped Vibe Coded AI App

I work in the area of human–AI communication and collaboration, with a focus on helping people use AI tools more effectively without losing human judgment, originality, or creative control.

Currently, I serve as an advisor to the Women in Leadership program at Rockford University. I am an ex-software engineer, instructor, coach, content creator, and lifelong learner, actively deepening my applied AI practice through hands-on AI courses and intensives. My images have been featured 110+ times on Unsplash, and I was among the top 10% of LinkedIn collaborative article contributors across multiple areas. I have also been invited to comment on major LinkedIn articles, especially on AI-related topics.

I work as a project-based AI response evaluation fellow for software engineering, human–AI communication, and image-generation projects.

With a background in physics, engineering, and teaching, I saw early why non-deterministic LLMs cannot be treated like deterministic systems — and why generic prompt packs were never enough for reliable AI use. That led me to create the AIgogy Framework™, a structured approach for getting better, more consistent results from AI tools. The work is based on ongoing research: https://dx.doi.org/10.2139/ssrn.6502620

I also built and shipped PromptRefiner, a free vibe-coded app that turned rough ideas into usable prompts. The site received 1,000+ unique visitors in its first month and was actively used by early adopters.

Advisor| Creator of AIgogy Framework

Rockford University
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Per Scholas
Handshake
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