KEY LEARNINGS
- Automation follows human-written 'if-then' rules, while AI learns to recognize patterns from data.
- Automated systems are deterministic, meaning they produce the same result every time for the same input.
- AI systems are probabilistic, providing predictions with a level of confidence rather than absolute certainty.
- Traditional Robotic Process Automation (RPA) is typically automation, not AI, unless it includes machine learning.
- Governance for automation focuses on logic verification, while AI governance requires monitoring for bias and drift.
- 📄NIST AI Risk Management FrameworkOfficial framework for managing AI risks.
- 🌐IEEE Guide for Intelligent Process AutomationIndustry standards for automation terminology.
- 📰Gartner: Distinguish AI From AutomationAnalyst perspective on classification.
- Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd.
- Davenport, T. & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review.
- IEEE. (2017). Guide for Terms and Concepts in Intelligent Process Automation.
