Glossary

APIs Certification of Hardware and Data Centers Data Pools Efficiency Metrics for Data Centers Fairness Metrics Foundation Models Tools for Measuring CO2 Consumption of AI Applications…

Over their life cycles, AI systems cause both direct and indirect CO2 emissions. On the one hand, greenhouse gases are generated by the hardware required…

Data pools are datasets that are either self-generated by AI or come from internal or external sources. A distinction is made between open and closed…

Efficiency metrics have been developed to measure the efficiency of data center operations and to identify existing weaknesses in different areas. The respective metrics map…

Algorithms can discriminate against people for instance based on age, gender or skin color if, for example, the data used to train the models contains…

A research group at Stanford University first coined the term foundation models in response to an advancing paradigm shift in the field of artificial intelligence.…

Model cards are used to document Machine Learning models. They are intended to provide information about the context in which algorithmic decision systems are used.…

AI systems or platforms can provide interfaces (APIs = application programming interfaces) for third-party vendors and other AI-developing companies to augment AI systems with exter-…

The amount of energy required to operate data centers is constantly growing. In German financial center Frankfurt, data centers are today responsible for 20 percent…