# Artificial Intelligence Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems are designed to simulate human cognitive processes through algorithms and computational models, enabling them to learn from and adapt to new information. The efficiency and efficacy of AI models often depends on the quality and volume of data they are trained on, which means that without data there can be no artificial intelligence. For more information about recent artificial intelligence research, please consult the following resources: * [WorldCat](https://search.worldcat.org/search?&offset=1&q=Recent+studies+about+data+and+data+governance+and+Artificial+Intelligence) * [Consensus](https://consensus.app/results/?synthesize=off&copilot=off&q=Recent+studies+about+data+and+data+governance+and+Artificial+Intelligence) * [Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Recent+studies+about+data+and+data+governance+and+Artificial+Intelligence) Our research team, partners, and the extended Network of the Datasphere have identified the following organizations working at the intersection of data or data governance and artificial intelligence. We recognize this is a dynamic field and would appreciate your help to [[contact our research team|improve]] this resource.