Research Engineer - Societal Impacts
External
Aisi · London, UKPrepare for this interview
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About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Team Description The Societal Impacts team studies high-impact societal risks caused by frontier AI deployment. Our team's mandate is to build a rigorous, world-class evidence base for the safe and responsible development of frontier AI by identifying risks, measuring impacts, and informing mitigation strategies. Risk areas we study include frontier AI enabling criminal activity, undermining trust in information, harming psychological wellbeing, and facilitating malicious social engineering. Our work is highly interdisciplinary, drawing on methods from computational social science, AI safety and security, cognitive and behavioural science, machine learning, and data science. Typical projects include running rigorous human-AI interaction studies, building evaluations for AI models and products, and developing datasets to monitor risk exposure and severity. Role Description Successful candidates will be strong researchers and engineers, who work with our research scientists to design, implement and run experiments that answer important questions about the effects AI will have on society. Illustrative projects might include: Implementing a human-AI interaction study where multiple human and AI participants converse and play a game Building a pipeline to scrape and analyse publicly available AI agent implementations Designing and running model evaluations for various societal risks from AI model behaviour This is a multidisciplinary team, and we look for people with a diversity of backgrounds. Required Skills and Experience Experience writing scalable, maintainable Python code Experience in one or more of the following: Data engineering, including data collection, data cleaning, processing, and visualisation ML engineering, including experience training/evaluating models using PyTorch or a similar library Full-stack web development Knowledge of machine learning sufficient to understand recent papers in the field Strong verbal communication, experience working on a collaborative research team, and interpersonal skills Demonstrable interest in and understanding of the societal impacts of AI Desired Skills and Experience Building and maintaining complex data products Designing and implementing experiments in human-AI interaction Training or evaluation of frontier AI models Research related to societal impacts of AI systems A specialisation in a relevant field of social or political science, economics, cognitive science, criminology, security studies, AI safety, or another relevant field.
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