2024

Mexico City, MX

In 2024, Condor Camp took place at Hotel Parque Mexico in Mexico City from February 10 to 16.
Seventeen highly talented undergraduate, master's, and doctoral students took part in activities focused
on the technical alignment and governance of Artificial Intelligence, as well as career workshops,
inspiration panels, and research sprints.
2024

Speakers

Javier Prieto


Javier is a Program Associate in at Open Philanthropy in 2021. His work supports Open Phil’s forecasting efforts (led by Benjamin Tereick), which include funding the forecasting ecosystem as well as internal-facing initiatives in foresight and evaluation. He holds a double BSc in Physics and Mathematics. Prior to joining Open Philanthropy,
he interned at CERN and worked as a freelance
“mathy tech person” for two years.

Morgan Simpson

Morgan is currently an AI governance research manager at ERA:AI
and contributes to reports for the Oxford Martin School
AI Governance Initiative. Previously, he held summer research fellowships at GovAI and SERI, established an AI forecasting organization, and authored works on the intersection of international security
and AI policy.

Renan Araújo

Renan runs the IAPS AI Policy Fellowship program and researches the international governance of AI. Renan is also co-founder of Condor Camp. Previously, he worked on global capacity-building for AI governance and safety at Rethink Priorities and did research at the Institute for Law and AI. He’s a lawyer, studied Law at the Federal University of Pernambuco (Brazil) and has a master's degree from the London School of Economics.

Rubi Hudson


Rubi is an Economics PhD student specializing in technical AI safety with a focus on safe predictive models. He leads the Mechanism Design for AI Safety (MDAIS) reading/working group, is a SERI MATS alumnus, and mentors with SPAR.

Yiqin Fu

Yiqin holds a BA in Philosophy, Politics, and Economics from Oxford; worked as a research associate at Yale Law School and was a Summer Research Fellow at GovAI in 2023. Currently pursuing her PhD in Political Science from Stanford. Her research focuses on quantitative methods, causal inference, industrial policy, Chinese innovation, and policy trade-offs in open-source AI.
2023

Oxford, UK

In 2023, Condor Camp took place at Wytham Abbey in Oxford, England, from July 24 to 30.
In that edition, 17 highly talented university students attended
and engaged with content and activities focused on Artificial Intelligence safety.
2022

Cusco, Peru

In 2022, Condor Camp took place at the Aranwa Sacred Valley Hotel in Cusco, Peru, from July 27 to August 5.
Thirteen highly talented university students learned analytical, philosophical, organizational, and creative content,
exercising their ability to engage in the search for solutions to the world's most urgent problems.
Below you can watch testimonials from some of our participants.
2022

Speakers

Ali Merali



PhD student in Economics at Yale University. He worked on technical AI safety as a Global Priorities Fellow at the Forethought Foundation, Oxford University, and as a facilitator
for the Artificial General Intelligence Safety Fundamentals course.

Angela Aristizábal

Research Scholar at the Future of Humanity Institute, Oxford University. Trained in Psychology at Universidad de Los Andes, she has worked with organizations such as Innovations for Poverty Action, Generation Pledge, and the Colombian National Police, and currently builds high-impact social projects in Latin America.

Ben Garfinkel



He is Acting Director of the Centre for the Governance of AI (GovAI) and a Research Fellow at Oxford University's Future of Humanity Institute. He is currently responsible for setting the organization's direction and supervising its researchers.

Fazl Barez



PhD student in Artificial Intelligence at the University of Edinburgh. He is also co-founder of Effective Altruism Edinburgh and founder of the Edinburgh Alignment and
Safety Hub.

Kuhan Jeyapragasan


Director of the Stanford Existential Risks Initiative. He holds a master's degree in Computer Science with a focus on AI from Stanford University. He is currently building Effective Altruism at Stanford University and globally with support from the Center for Effective Altruism.

Linch Zhang

Research Manager at Rethink Priorities working on longtermist research. He worked on Covid-19 forecasting projects, including collaborations with superforecasters and Oxford researchers. He was previously a programmer at Impossible Foods and Google, and has led several local EA groups.

Ashwin Acharya

Researcher at Rethink Priorities working on AI Governance and Strategy. Previously, he worked at Georgetown University's Center for Security and Emerging Technology and at Oxford University's Future of Humanity Institute.

Samuel Marks

PhD student in Mathematics at Harvard University and bachelor's graduate in Mathematics from Princeton University. He co-organizes the ACX forecasting contest and works on technical approaches to safe AI development.

Jan Brauner

PhD student in Oxford University's Centre for Doctoral Training in Autonomous Intelligent Machines and Systems, funded by Cancer Research UK and the Future of Humanity Institute. He researches AI safety and its applications to biomedical research.

PROGRAM

days 1 and 2

Decision-making

Introduction to judgment and decision-making techniques
Introduction to probabilistic thinking
Cognitive biases and strategic thinking
days 1 and 2

Decision-making

Introduction to judgment and decision-making techniques
Introduction to probabilistic thinking
Cognitive biases and strategic thinking
days 3 to 5

Prioritization & forecasting

Introduction to effective altruism
(why and how to do the most good possible?)
Cause prioritization
Cost-benefit analysis
Forecasting
High-impact areas
Free day with optional leisure activities
days 3 to 5

Prioritization & forecasting

Introduction to effective altruism
(why and how to do the most good possible?)
Cause prioritization
Cost-benefit analysis
Forecasting
High-impact areas
Free day with optional leisure activities
days 6 to 8

Long-term future

Introduction to longtermism
(what we owe the future, 
the most important century)
Main catastrophic and existential risks
Population ethics
Group split into two specializations
Track 1: Safe artificial intelligence
Track 2: Building communities to shape the future
days 6 to 8

Long-term future

Introduction to longtermism
(what we owe the future, 
the most important century)
Main catastrophic and existential risks
Population ethics
Group split into two specializations
Track 1: Safe artificial intelligence
Track 2: Building communities to shape the future
days 9 and 10

Career & projects

Introduction to project management
Career planning workshop
Supervised project development
Project presentation and discussion
days 9 and 10

Career & projects

Introduction to project management
Career planning workshop
Supervised project development
Project presentation and discussion
OUR ALUMNI