Policy Brief
We face a fundamental question: is the very pursuit of Artificial General Intelligence (AGI) the kind of aim democracies should allow?
By:
Seth Lazar
If we are a long way short of Artificial General Intelligence (AGI), why worry about it now?
Seth Lazar and Alex Pascal argue that the people building the most advanced AI systems are explicitly and aggressively working to bring AGI about, and they think they’ll get there in two to five years. Even some of the most publicly skeptical AI researchers don’t rule out AGI within this decade. If we, the affected public, do not actively shape this agenda now, we may miss the chance to do so at all. We face a fundamental question: is the very pursuit of AGI the kind of aim democracies should allow?
Occasional Paper
In a new working paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted?, Allen Lab authors Sarah Hubbard, David Kidd, and Andrei Stupu introduce an ethical-moral intelligence framework for evaluating AI models across dimensions of moral expertise, sensitivity, coherence, and transparency.
Open Access Resource
Allen Lab for Democracy Renovation Senior Fellow Allison Stanger, in collaboration with Jaron Lanier and Audrey Tang, envision a post-Section 230 landscape that fosters innovation in digital public spaces using models optimized for public interest rather than attention metrics.
Feature
The Allen Lab for Democracy Renovation and Bloomberg Center for Cities brought together civic technologists, researchers, as well as municipal and state leaders across Massachusetts for a workshop on digital civic infrastructure.
Occasional Paper
In a new working paper, Crocodile Tears: Can the Ethical-Moral Intelligence of AI Models Be Trusted?, Allen Lab authors Sarah Hubbard, David Kidd, and Andrei Stupu introduce an ethical-moral intelligence framework for evaluating AI models across dimensions of moral expertise, sensitivity, coherence, and transparency.
Open Access Resource
Allen Lab for Democracy Renovation Senior Fellow Allison Stanger, in collaboration with Jaron Lanier and Audrey Tang, envision a post-Section 230 landscape that fosters innovation in digital public spaces using models optimized for public interest rather than attention metrics.
Feature
The Allen Lab for Democracy Renovation and Bloomberg Center for Cities brought together civic technologists, researchers, as well as municipal and state leaders across Massachusetts for a workshop on digital civic infrastructure.