Attorneys familiar with the European GDPR are acquainted with the bifurcation of the world into controllers and processors. For purposes of European data privacy, a “controller” refers to a company that either jointly or alone “determines the purposes and means” of how personal data will be processed.[1] A “processor” refers to a company (or
Categorizing data as “sensitive” is a common feature in U.S. state privacy law, as well as the EU’s GDPR (which uses the term “special category” for similar personal data).[1] What is considered sensitive data varies from state to state, as well as the obligations that come with it. Colorado, Connecticut, Florida, Indiana, Montana, Oregon
Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.
Foundational models are large-scale AI models trained using vast amounts of unlabeled data that can be used for varying tasks. Foundational models typically use self-supervised learning to apply learnings
Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.
As part of developing an AI, computers may be provided with large quantities of data from which patterns and associations can be recognized (“training data”). Training data is often
Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.
“Completion” is a term used by some AI providers – particularly those that provide natural language or large language models – to describe certain output data, whether or
Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.
Prompts are a subset of input data that describe the instructions provided to the AI model (i.e., “please summarize the following 10 documents”) as opposed to other types of
Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.
Output data is new data an artificial intelligence (AI) creates or synthesizes based on input data and the AI’s algorithm.
Companies across industries are considering whether, and how, to utilize artificial intelligence (AI). Once developed, an AI can be utilized in a variety of different ways.
Input data is data added to an artificial intelligence (AI) to explain a problem, situation, or request. Input data may be cleaned, labeled, and organized, or it may be
The term “data minimization” generally refers to two requirements within the GDPR: (1) a company should only collect and process personal data that is “necessary” in relation to its purpose, and (2) a company should keep data for “no longer than is necessary for [that] purpose[].”[1] Put differently, a company should only collect what
Data is typically added to an AI to explain a problem, situation, or request (“input data”). Some popular AI models refer to input data by the term “prompt” as the user is prompting the AI to initiate an action, or to create additional information. Prompts can take different forms such as text prompts or image