Books and ideas about AI, work and society.

Both disciplines govern how data is collected, transformed, shared and used to affect people or decisions. A joined approach can reuse data maps, vendor controls, impact assessments, retention rules and accountable owners. Read the full analysis ↗

Start with the task, expected value and evidence. Then examine data rights, integration, security, evaluation, human review, vendor dependence, operating cost and the route to switch or stop. Use the detailed framework ↗

Give everyone enough literacy to understand common capabilities and risks, then build role-specific practice. Read the workforce guide ↗

When it meets the task with sufficient quality while offering lower cost, faster response, easier deployment, greater data control or lower energy demand. Compare model impacts ↗

The number depends on whether AI creates new products, demand and companies—not only whether it removes tasks. Explore the employment analysis ↗

They reveal different assumptions about rights, markets and state capacity. Effective regulation must fit both the harm and the institution expected to enforce it. Read the comparative research ↗