Designing Individualized Policy and Technology Interventions to Improve Gig Work Conditions
Jane Hsieh, Oluwatobi Adisa, Sachi Bafna, Haiyi Zhu

TL;DR
This paper advocates for personalized policies and technological solutions to enhance gig work conditions, balancing individual flexibility with community needs, supported by legal and scholarly evidence from the US.
Contribution
It introduces the need for targeted, personalized interventions in gig work, highlighting tradeoffs and proposing future policy and technological innovations.
Findings
Personalized policies can improve gig worker well-being.
Tradeoffs exist between flexibility and community needs.
Legal evidence supports targeted interventions.
Abstract
The gig economy is characterized by short-term contract work completed by independent workers who are paid to perform "gigs", and who have control over when, whether and how they conduct work. Gig economy platforms (e.g., Uber, Lyft, Instacart) offer workers increased job opportunities, lower barriers to entry, and improved flexibility. However, growing evidence suggests that worker well-being and gig work conditions have become significant societal issues. In designing public-facing policies and technologies for improving gig work conditions, inherent tradeoffs exist between offering individual flexibility and when attempting to meet all community needs. In platform-based gig work, contractors pursue the flexibility of short-term tasks, but policymakers resist segmenting the population when designing policies to support their work. As platforms offer an ever-increasing variety of…
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