Commentary
India & the Olympics of AI
Allen Lab Fellow Jeremy McKey reflects on India’s AI Impact Summit, exploring the theme of diffusion and the implications for sovereignty and democracy.
Additional Resource
On November 7, 2023, the Summit on AI and Democracy gathered experts across multiple institutions to discuss ongoing research, policy, and development efforts related to the recent advancements in artificial intelligence.
On November 7, 2023, the Summit on AI and Democracy gathered experts across multiple institutions to discuss ongoing research, policy, and development efforts related to the recent advancements in artificial intelligence. The Summit was hosted by the GETTING-Plurality Research Network, a part of the Allen Lab for Democracy Renovation housed at the Harvard Kennedy School’s Ash Center for Democratic Governance and Innovation.
The Summit was composed of various lightning talks and breakout groups, with a focus on the following topics:
Commentary
Allen Lab Fellow Jeremy McKey reflects on India’s AI Impact Summit, exploring the theme of diffusion and the implications for sovereignty and democracy.
Commentary
Allen Lab Policy Fellow Christine Slaughter makes the case that democracy must be understood through people’s lived experiences and agency, not just institutions.
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.
Commentary
Allen Lab Fellow Jeremy McKey reflects on India’s AI Impact Summit, exploring the theme of diffusion and the implications for sovereignty and democracy.
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.