Society · Concept

Algorithmic-Human Manager Framework for Gig Economy Governance

A mixed-methods study of Indian gig workers proposes a hybrid Algorithmic-Human Manager governance model balancing AI efficiency with human accountability in location-based services.

Trend strength 5/10

Momentum +5/q

Confidence medium

Status new

Forecast horizon

Connections

Connections · 1

How this node ties into the rest of the map, and the evidence behind each link.

to · applies to 5/10

Worker Adaptability to AI-Induced Job Displacement

The Algorithmic-Human Manager framework addresses governance of AI-induced displacement in the gig economy, directly relevant to worker adaptability research.

+5 growth

Signal sources

Dated facts from primary sources in this direction.

AI in government Sep 2025

An OECD review of ~200 government AI use cases found 57% support automating or tailoring public services and 45% enhance decision-making — most still stuck in pilots.

OECD — Governing with AI →

Labor signal Nov 2025

A Stanford payroll study found a 13% relative decline in employment for workers aged 22–25 in AI-exposed occupations since late 2022, while older peers held steady.

Stanford Digital Economy Lab →

Information integrity Oct 2025

Microsoft reported AI-enhanced phishing reached a 54% click-through rate (4.5× traditional) and AI-generated fake IDs grew 195% globally in 2025.

Microsoft — Digital Defense Report 2025 →