Uncertainty AI Breakthrough for Human-AI Reasoning
AI Summary
In this video, the speaker discusses a groundbreaking paper by Google Research on developing a new conversational AI diagnostic tool called Amy. This AI system incorporates the concept of ‘epistemic humility’, recognizing its own limitations and engaging in a dialogue with users to fill in knowledge gaps. Unlike traditional AI, Amy proactively gathers information from patients, asks clarifying questions, and adjusts its reasoning based on new data, leading to improved diagnostic capabilities in healthcare. The video emphasizes the potential of this AI framework to go beyond medicine, aiding in fields such as climate modeling and legal reasoning by treating uncertainty as a strategic asset. This research represents a significant step towards aligning AI with human cognitive processes in high-stakes environments, making it not just a better diagnostic tool but a model for future human-aligned AI developments.
Description
Uncertainty AI framework implemented in MedAI by Google. AMIE as a new and amazing Blueprint for “Human-Aligned AI”.
This new Ai research study isn’t just about building a better diagnostic tool - it’s a roadmap for aligning AI with human cognitive processes in high-stakes domains.
By forcing AI models to reason like clinicians (iteratively, transparently, and multimodally), the researchers bridge the gap between technical capability and real-world utility.
The next frontier is indeed scaling this framework to domains beyond medicine, like climate modeling or legal reasoning, where uncertainty and multimodal data reign supreme.
all rights w/ authors:
Advancing Conversational Diagnostic AI with Multimodal Reasoning
Khaled Saab∗,1,
Jan Freyberg∗,2,
Chunjong Park∗,1,
Tim Strother1
, Yong Cheng1
, Wei-Hung Weng1
David G.T. Barrett1
, David Stutz1
, Nenad Tomasev1
, Anil Palepu2
, Valentin Liévin1
, Yash Sharma2
Abdullah Ahmed2
, Elahe Vedadi1
, Kimberly Kanada2
, Cian Hughes2
, Yun Liu2
, Geoff Brown2
, Yang Gao1
Sean Li1
, S. Sara Mahdavi1
, James Manyika2
, Katherine Chou2
, Yossi Matias2
, Avinatan Hassidim1
Dale R. Webster2
, Pushmeet Kohli1
, S.M. Ali Eslami1
, Joëlle Barral1
, Adam Rodman2
, Vivek Natarajan2
Mike Schaekermann2
, Tao Tu1
, Alan Karthikesalingam†,2 and Ryutaro Tanno†,1
*Equal contributions, †Equal leadership,
from
1 Google DeepMind,
2 Google Research
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