Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?

1. 1Model automation intensity as a continuous choice
2. 2Estimate an AI production function via scaling-law experiments
3. 3Evaluate the optimal degree of task automation by minimizing costs
4. 4Consider the trade-offs between AI accuracy, human involvement, and costs

Data scientists, AI engineers, and product managers can benefit from understanding the economics of human and AI collaboration to make informed decisions about automation intensity

💡 Partial automation can be more attractive than full automation when considering the trade-offs between AI accuracy, human involvement, and costs

🤖💡 When is partial automation more attractive than full automation? New research explores the economics of human-AI collaboration