Glossary

Generative Artificial Intelligence (Gen AI)

Generative Artificial Intelligence (Gen AI) refers to artificial intelligence systems that can create new content – such as text, images, audio or code – based on the patterns they’ve learned from existing data. Instead of simply recognizing or classifying information, generative AI produces original output that mimics human creativity and communication.

Description

Generative AI represents one of the most transformative advances in technology. Built on Large Language Models (LLMs) and foundation models, it can generate natural-sounding language, realistic visuals or synthesized speech in seconds. These systems learn by analyzing vast datasets, identifying relationships between words, sounds or pixels, and predicting the next likely element in a sequence.

While early AI focused on automation and prediction, generative AI moves into creation. It powers everything from chatbots and content generation to design assistance and audio production. But its success depends heavily on the quality of its training data and the human oversight guiding its outputs. Enterprises increasingly use generative AI to speed up content workflows, localize multilingual material, summarize complex information and support creative ideation. Yet these capabilities must be implemented responsibly – ensuring that the generated output remains accurate, inclusive and free from bias. That’s where Human-in-the-Loop (HITL) and high-quality data annotation come in, keeping creativity aligned with integrity. Generative AI’s potential lies not just in producing content, but in helping people think, communicate and innovate faster – without losing the empathy, nuance or intent that make human expression meaningful.

Example use cases

  • Content creation: Draft multilingual marketing, learning or technical materials.
  • Localization: Accelerate workflows with AI-generated drafts reviewed by linguists.
  • Data synthesis: Create synthetic datasets for model training or product simulation.
  • Customer support: Power chatbots and voice assistants with natural conversational ability.
  • Ideation: Generate ideas, imagery or copy variants for campaigns and design.

Key benefits

Speed
Produce first drafts or creative options instantly.
Scalability
Generate large volumes of localized content quickly.
Consistency
Maintain tone, terminology and brand alignment across outputs.
Optimization
Reduce manual workload and focus human effort where it matters most.
Optimization
Expand creative possibilities through intelligent collaboration between people and machines.

RWS perspective

At RWS, we view generative AI as a powerful creative partner – one that thrives when guided by human expertise and ethical principles. Our approach ensures every model, dataset and output reflects our commitment to accuracy, inclusivity and cultural relevance.

Through TrainAI, we help organizations prepare and refine the high-quality data that generative models depend on. Our Human-in-the-loop processes ensure that AI-generated outputs are validated and improved by people who understand language, culture and context. And with Language Weaver, we extend this capability to multilingual communication – combining neural translation with human post-editing to deliver fluent, on-brand results. Generative AI can draft, design and imagine. But only humans can decide what feels right. At RWS, we bring those forces together – enabling organizations to unlock the full potential of generative intelligence while maintaining the trust, creativity and connection that define genuine communication.