Keynote Speakers

Dr. Luis A. Pineda Cortés

Unveiling AI-Driven Systems for a Worker-Centric Future

Saiph Savage

Saiph Savage is an Assistant Professor at Northeastern University and collaborator of the Universidad Nacional Autonoma de Mexico (UNAM), where she conducts research in the intersection of Human Computer Interaction, A.I., and Civic Technology. She is one of the 35 Innovators under 35 by the MIT Technology Review, a Google Anita Borg Scholarship recipient, and a fellow at the Center for Democracy & Technology. Her work has been covered in the BBC, Deutsche Welle, the Economist, and the New York Times, as well as published in top venues such as ACM CHI, CSCW, and the Web Conference, where she has also won honorable mentions and impact awards. Dr. Savage has been awarded grants from the National Science Foundation, the United Nations, diverse industry actors, and has also formalized new collaborations with Federal and local Governments where she is driving them to adopt Human Centered Design and A.I. to deliver better experiences and government services for citizens. Dr. Savage students have obtained fellowships and internships in industry (Facebook Research, Twitch Research, Twitter, Snap, and Microsoft Research) as well as academia (Oxford Internet Institute). Saiph holds a bachelor’s degree in Computer Engineering from the National Autonomous University of Mexico (UNAM), and a master's and Ph.D. in Computer Science from the University of California, Santa Barbara (UCSB). Dr. Savage has also worked at the University of Washington, and Carnegie Mellon University (CMU). Additionally, Dr. Savage has been a tech worker at Microsoft Bing, Intel Labs, and a crowd research worker at Stanford.

 

 

Unveiling AI-Driven Systems for a Worker-Centric Future

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.

Organizing Institutions