AI democratization refers to making AI accessible to non-technical employees through user-friendly tools. Learn how AI democratization accelerates adoption and value creation.
Table of Contents
Question
In the context of AI adoption, what does “AI democratization” refer to?
A. Voting on which AI projects to implement
B. Making AI tools accessible to non-technical employees
C. Using AI to predict election outcomes
D. Replacing management with AI systems
Answer
B. Making AI tools accessible to non-technical employees
Explanation
AI democratization refers to the trend of making AI technologies and tools accessible and usable by non-technical employees throughout an organization, rather than being restricted to just data scientists, machine learning engineers, and other highly technical roles.
The goal of AI democratization is to empower business users, like marketers, salespeople, financial analysts, HR professionals and others to directly leverage AI capabilities in their work through easy-to-use tools and platforms. This includes things like:
- No-code/low-code AI tools that allow building models without programming skills
- Automated machine learning (AutoML) to guide users through the AI development process
- Pre-built AI solutions for common business applications
- Intuitive interfaces for interacting with AI systems
- Training to help employees understand and adopt AI
By democratizing access to AI, organizations can accelerate adoption, multiply the impact of their AI investments, and capture more value from AI. It enables far more employees to enhance their work with AI capabilities. However, governance processes are still important to maintain responsible usage of AI by newly enabled users across the business.
So in summary, AI democratization means expanding access to AI tools beyond technical experts to a much broader range of roles, which is a key enabler for widespread adoption of the technology in enterprises. The other answer options do not accurately define this concept.
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