Employment Law: The Gig Economy

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Employment Law: The Gig Economy

Coursera · Intermediate ·🔍 RAG & Vector Search ·1mo ago
Gig work, a type of work that is done on a short-term or freelance basis, has exploded in popularity in recent years. The term gig work is commonly used to discuss work for businesses that facilitate peer-to-peer transactions. People usually think of ridesharing apps such as Uber and Lyft, but the categories of gig work have expanded rapidly. Although people are quick to identify gig work, the newness of the concept has left many gaps in the legal definitions of what gig work is and how gig workers should be protected. This course seeks to clear up misconceptions about gig workers through an examination of various legal cases, examining grey areas of the law and also providing possible alternatives. We begin by examining how the gig economy is defined in terms of the relationships between employer, employee, and consumer, and we then examine how the gig economy is defined legally. We also explore how gig work classification has evolved over time through various court rulings. We will then determine the areas where court precedents have still fallen short in the coverage of worker protections offered to other employee statuses but not to gig workers. Finally, we will propose alternative solutions to gig worker classification that would increase worker benefits among other protections.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The Future of RAG: Dead, Evolving… or Becoming the Brain of AI?
Learn about the future of RAG, from its current state to emerging trends like Agentic RAG and multimodal AI
Medium · Machine Learning
Smart Routing, Transfer Family Ingestion, and Voice Chat — Permission-Aware RAG v4.2
Learn about the latest features in Permission-Aware RAG v4.2, including Smart Routing, Transfer Family Ingestion, and Voice Chat, and how to apply them in your projects
Dev.to · Yoshiki Fujiwara(藤原 善基)@AWS Community Builder
Most Companies Doing GenAI Are Really Just Doing RAG: RAGOps Explained for analysts
Learn why RAGOps is becoming the preferred approach for GenAI projects and how it differs from agent-based approaches
Medium · RAG
RAG - Sliding Window, Token Based Chunking and PDF Chunking Packages
Learn about RAG chunking mechanisms, including Sliding Window, Token Based, and PDF Chunking, to improve your AI model's text processing capabilities
Dev.to AI
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →