Policy Brief
The authors highlight why we believe the problem of “plural publics” to be a core challenge of data governance, discuss existing tools that can help achieve it and a research agenda to further develop and integrate these tools.
By:
Divya Siddarth
Glen Weyl
Shrey Jain
Data governance is usually conceptualized in terms of “privacy” v. “publicity”. Yet a core feature of pluralistic societies is association, groups that share with each other, privately. These are a diversity of “publics”, each externally private but with the ability to coordinate and share internally. Empowering them requires tools that allow the establishment of shared communicative contexts and their defense against external sharing outside of context. The ease of spreading information online has challenged such “contextual integrity” and the rise of generative foundation models like GPT-4 may radically exacerbate this challenge. In the face of this challenge, we highlight why we believe the problem of “plural publics” to be a core challenge of data governance, discuss existing tools that can help achieve it and a research agenda to further develop and integrate these tools.
Commentary
Allen Lab Researcher David Riveros Garcia draws on his experience building civic technology to fight corruption in Paraguay to make the case that effective civic technology must include power and collective action in its design.
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.
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.