🤖 Old-style AI used rules and was deterministic, but was too human-intensive to deploy. What is the barrier now? Before neural-network simulation was commonly a
The current barriers to deploying AI are not technical limitations but rather the intensive human effort required for their implementation. Early AI systems, known as expert systems, were rule-based and deterministic, offering explainable reasoning. However, their complexity and the manual effort involved in their creation and maintenance made them impractical for widespread use. AI
IMPACT Highlights that the primary challenge for AI adoption remains human effort and expertise, not technological capability.