Foundational AI Terms: In order to understand AI applications and how they apply to organizational processes, it’s first important to develop an understanding of what exactly Artificial Intelligence (AI) is and what defines something as AI. This section includes some of the most important terms to know.

Data Terms: It’s useful to know what information AI systems draw their decision-making from. There are a number of different types of data and the ways in which they are organized in AI databases. AI systems are only as reliable as the data provided to them!

AI Training Terms: AI models don’t just make decisions based on data alone. How these systems are trained to use this data is also a very important aspect of AI proficiency and reliability. Terms included in this section apply to AI training.

AI Risk/Risk Mitigation Terms: While AI applications show a lot of promise, they do not come without any significant risks. This not only applies to security, but dependability and information accuracy as well. These terms deal with AI risk that you MUST be aware of.