Laura Weidinger
TL;DR Laura Weidinger is a leading researcher focused on AI safety, ethics, and the development of responsible large-scale machine learning systems.
Laura Weidinger is a prominent figure in AI ethics and safety, known for her research on the social, moral, and governance challenges posed by advanced machine learning. Her work brings together psychology, ethics, and technical AI research to address how robust systems should be evaluated, deployed, and aligned with human values. She has become an influential voice in shaping responsible AI practices across industry and academia.
Laura Weidinger is a senior research scientist at DeepMind, where she focuses on the long-term societal impacts of artificial intelligence. Her research examines the risks associated with large-scale language models, the ethical challenges posed by generative systems, and how AI can influence real-world decision-making. She is widely recognized for her work on model evaluation frameworks, risk assessment methodologies, and strategies for ensuring that advanced AI systems behave safely and predictably.
Her background in psychology and ethics gives her work a uniquely interdisciplinary perspective, allowing her to investigate how human values, cognitive processes, and social norms intersect with emerging technologies. She has co-authored influential papers on AI safety, transparency, and the responsible development of generative models.
Senior research scientist at DeepMind, specializing in AI ethics and long-term safety
Co-author of influential research on the risks and societal impact of large-scale language models
Pioneering work on evaluation frameworks for trustworthy and aligned AI systems
Leader in interdisciplinary research, connecting psychology, ethics, and machine learning
Major contributor to global conversations on AI governance and responsible deployment
Recognized voice in building safe, transparent, and accountable AI technologies
