
AI Signals From Tomorrow
AI Signals from Tomorrow is a podcast channel designed for curious minds eager to explore the frontiers of artificial intelligence. The format is a conversation between Voyager and Zaura discussing a specific scientific paper or a set of them, sometime in a short format and sometime as a deep dive.
Each episode delivers clear, thought-provoking insights into how AI is shaping our world. From everyday impacts to philosophical dilemmas and future possibilities, AI Signals from Tomorrow bridges the gap between cutting-edge research and real-world understanding.
Whether you're a tech enthusiast, a concerned citizen, or simply fascinated by the future, this podcast offers accessible deep dives into topics like machine learning, ethics, automation, creativity, and the evolving role of humans in an AI-driven age.
Join Voyager and Zaura as they decode the AI signals pointing toward tomorrow—and what they mean for us today.
AI Signals From Tomorrow
AI & The Workforce: Human Agency and Automation
This podcast introduces WORKBank, a novel database designed to audit the integration of AI agents into various occupations by collecting dual perspectives from both domain workers and AI experts. It is based on the paper “Future of Work with AI Agents” https://arxiv.org/pdf/2506.06576 . It establishes the Human Agency Scale (HAS) to quantify the desired level of human involvement, distinguishing between automation and augmentation. The findings reveal that workers generally prefer AI to automate low-value, repetitive tasks to free up time for high-value work, and they desire a balanced human-AI partnership (H3), often preferring more human agency than current AI capabilities allow. The research also highlights a mismatch between current AI investments and actual worker desires, suggesting a need to prioritize AI development in areas where workers express high desire for automation but current capabilities are low.