Keynote talk by Saiph Savage
Abstract
AI Systems for Gig Worker Collective Action
In today's dynamic gig economy, workers on platforms like Upwork, Amazon Mechanical Turk, and Toloka face daunting labor challenges. Despite the potential of collective action to significantly improve these conditions, its implementation is hindered by inadequate systems for identifying and resolving issues. During my keynote, I will unveil my Innovative A.I. For Worker Collective Action framework, deeply embedded in social theories. This talk will highlight how we can harness Large Language Models (LLMs), coupled with social theories and worker-owned data, to develop technologies that are truly worker-centric. These technologies not only empower workers to shape their own futures but also enhance their working conditions and address existing harms. I will showcase case studies that exemplify the practical application of this framework, illustrating its potential to revolutionize the future of work. The session will culminate in a forward-looking discussion on a research agenda aimed at exploring the societal impacts of A.I. and crafting effective socio-technical solutions that consistently put worker wellbeing at the forefront.
Note: this talk will be live streamed from Mexico City