Policy Brief
The GETTING-Plurality Research Network submitted a series of memos which respond to various questions posed around the topics of bolstering democracy and civic participation; protecting rights, safety, and national security; and promoting economic growth and good jobs.
The White House recently released a series of announcements focused on responsible artificial intelligence, including a White House Office of Science and Technology Policy request for information on national priorities for AI. The GETTING-Plurality Research Network submitted a series of memos which respond to various questions posed around the topics of bolstering democracy and civic participation; protecting rights, safety, and national security; and promoting economic growth and good jobs.
GETTING-Plurality looks forward to further engagement and discussion on AI governance.
Additional Resource
Ensuring public opinion and policy preferences are reflected in policy outcomes is essential to a functional democracy. A growing ecosystem of deliberative technologies aims to improve the input-to-action loop between people and their governments.
Video
The Allen Lab for Democracy Renovation’s Making Democracy Interesting webinar brought together scholars, writers, and creators to explore how storytelling can make democratic life feel more accessible, human, and compelling.
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.
Additional Resource
Ensuring public opinion and policy preferences are reflected in policy outcomes is essential to a functional democracy. A growing ecosystem of deliberative technologies aims to improve the input-to-action loop between people and their governments.
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.