This is a non-exhaustive list of organisations that are actively working on problems related to the ethics of AI.
DeepMind is the world leader in artificial intelligence research and its application for positive impact.
OpenAI is a non-profit AI research company, discovering and enacting the path to safe artificial general intelligence.
The Machine Intelligence Research Institute is a research nonprofit studying the mathematical underpinnings of intelligent behavior. Our mission is to develop formal tools for the clean design and analysis of general-purpose AI systems, with the intent of making such systems safer and more reliable when they are developed.
FHI explores what we can do now to ensure a long flourishing future.
FHI is a multidisciplinary research institute at the University of Oxford. Academics at FHI bring the tools of mathematics, philosophy, social sciences, and science to bear on big-picture questions about humanity and its prospects.
Humanity has the potential for a long and flourishing future. Our mission is to shed light on crucial considerations that might shape our future.
Mission: To catalyze and support research and initiatives for safeguarding life and developing optimistic visions of the future, including positive ways for humanity to steer its own course considering new technologies and challenges.
The Centre for the Study of Existential Risk is an interdisciplinary research centre within the University of Cambridge dedicated to the study and mitigation of risks that could lead to human extinction or civilisational collapse.
AI & Society
Established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.
Our vision at CFI is to build a new interdisciplinary community of researchers, with strong links to technologists and the policy world, and a clear practical goal – to work together to ensure that we humans make the best of the opportunities of artificial intelligence, as it develops over coming decades.
Researching the social impacts of artificial intelligence now to ensure a more equitable future.
Bringing together a growing community of researchers and practitioners concerned with fairness, accountability, and transparency in machine learning.