Human In The Loop Generative AI: Redefining Collaborative Data Engineering For High Stakes Industries

Abstract

Human-in-the-Loop generative artificial intelligence is reshaping collaborative data engineering for high-stakes in- dustries. These technologies are enabling new levels of speed and scale in data engineers’ decision-making process, by har- nessing AI to generate potential solutions for their review and selection. This approach combines the domain-specific insights and quality-control capabilities of human subject matter experts with the generative AI models’ unprecedented ability to learn from and synthesize billions of data engineering documents such as tweets, blogs, books and manuals. Human-in-the-Loop paradigms have existed since the earliest days of AI development, especially in industrial contexts, yet the greater sophistication demonstrated by the latest generative AI tools poses both new opportunities and new challenges. Presented through the lens of an experienced data engineer working with challenging high- stakes industries such as financial services, health care, phar- maceuticals, aerospace/defence, and industrial manufacturing, this paper explores the practical side of Human-in-the-Loop generative AI. It examines real use cases and provides answers to three key questions: (1) Why does Human-in-the-Loop matter?

(2) How does Human-in-the-Loop work? and (3) What does the future hold for Human-in-the-Loop?