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Sam Manning

Senior Research Fellow

sam.manning@governance.ai
https://www.sam-manning.com/

Sam’s work focuses on measuring the economic impacts of frontier AI systems and designing policy options to help ensure that advanced AI can foster broadly shared economic prosperity. He previously conducted research at OpenAI and worked on a randomised controlled trial of a guaranteed income programme in the US. Sam has a MSc in International and Development Economics from the University of San Francisco.

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Featured Publications

Law and Policy

AI-Powered Lawyering: AI Reasoning Models, Retrieval Augmented Generation, and the Future of Legal Practice

Generative AI is set to transform the legal profession, but its full impact remains uncertain. While AI models like GPT-4 improve...

Economics of AI

Extending “GPTs Are GPTs” to Firms

We extend Eloundou et al. (2024) to build firm-level measures of exposure to large language models (LLMs) with data from two sources...

Economics of AI

Trends in Frontier AI Model Count: A Forecast to 2028

Governments are starting to impose requirements on AI models based on how much compute was used to train them. For example, the EU AI Act imposes...

Economics of AI

AI’s Impact on Income Inequality in the US

According to one survey, about half of Americans think that the increased use of AI will lead to greater income inequality and a more polarized society. Roughly two thirds...

Political Science and International Relations

Options and Motivations for International AI Benefit Sharing

Advanced AI systems could generate substantial economic and other societal benefits, but these benefits may not be widely shared by default. For a range of reasons, a number of prominent actors and institutions have called for...

Economics

GPTs are GPTs: Labor market impact potential of LLMs

We propose a framework for evaluating the potential impacts of large-language models (LLMs) and associated technologies on work by considering their relevance to the tasks workers perform in their jobs.

Featured Analysis

Research Posts

Predicting AI’s Impact on Work

If policymakers could foresee how AI will impact labour markets, they could make better policy decisions. The nascent science of “automation evaluations” aims to provide this foresight.

Paper Summaries

Options and Motivations for International AI Benefit Sharing

Despite increasing interest in international AI benefit sharing, fundamental questions regarding motivations, mechanisms, and feasibility remain unexplored. In a new GovAI report, we describe three...

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