id stringlengths 7 7 | term stringlengths 3 39 | definition stringlengths 90 306 | see_also stringlengths 0 37 | see_also_url stringlengths 0 88 |
|---|---|---|---|---|
gls-001 | AI lab | A company or research group that trains large AI models. Labs license data from companies because real work records show how tasks are done, which public web text does not. | Selling company data to AI labs | https://aitrainingdatabroker.com/sell/ |
gls-002 | Acceptance window | The period after delivery when an AI lab reviews the data against agreed checks and accepts or rejects it. The license states the length of the window and the payment date. | How you get paid | https://aitrainingdatabroker.com/sell/how-you-get-paid/ |
gls-003 | Anonymization | Changing data so that people can no longer be identified from it by any means reasonably likely to be used. Most privacy laws treat truly anonymous data as outside their rules, and each sets its own test for when that point is reached. | Privacy rules by region | https://aitrainingdatabroker.com/regions/ |
gls-004 | Bayh-Dole Act | A US law that lets a university or other institution keep rights to inventions made with federal research funding. It covers inventions, not the writing in a thesis, so a thesis is decided by the school's policy and by copyright law. | Universities and research labs | https://aitrainingdatabroker.com/sell/universities-and-research-labs/ |
gls-005 | Broker fee | What we are paid for arranging a deal. The AI lab pays it, and only after the deal closes. | About and how we earn | https://aitrainingdatabroker.com/about/ |
gls-006 | Common Rule | The US federal rule for research on people. It sets what a consent form must say and has a section on broad consent for later research use. An older consent form often says nothing about AI training, so the question for each study is what its participants agreed to. | Theses and dissertations | https://aitrainingdatabroker.com/data/theses-and-dissertations/ |
gls-007 | Company data | The records a company creates by doing its work: support tickets, emails, quotes, work orders, project histories, procedures. Owners also call it business records or operating records. | What kinds of records can be licensed | https://aitrainingdatabroker.com/data/ |
gls-008 | Company operations data | The working record of one business: its email, chat, tickets, wiki pages and project history, kept connected so a question in chat can be followed to the ticket and the result. | Company operations data for AI labs | https://aitrainingdatabroker.com/buy/company-operations-data/ |
gls-009 | Consent | A person agreeing to a use of their information. Whether consent is needed, and what it must cover, depends on the privacy law that applies to the people in the data. | Privacy rules by region | https://aitrainingdatabroker.com/regions/ |
gls-010 | Controller and processor | Two roles in privacy law such as the GDPR. The controller decides why and how personal data is used, and a processor handles it on the controller's behalf under a contract. Which role a company has changes what it answers for. | Who answers for what | https://aitrainingdatabroker.com/sell/liability/ |
gls-011 | Covered entity | Under the US health privacy rule (HIPAA), a health plan, a clearinghouse or a health care provider that bills electronically. Health information held by a covered entity can leave only through a permitted route, such as de-identification to the standard in the rule. | United States rules | https://aitrainingdatabroker.com/regions/us/ |
gls-012 | CPRA | The California Privacy Rights Act, which changed California's privacy law. People can opt out of the sale of their data and of its sharing for targeted advertising, even when no money changes hands, so audience data used for ads is left out of a license. | Martech and adtech companies | https://aitrainingdatabroker.com/sell/martech-and-adtech-companies/ |
gls-013 | Data card | A one-page description of a dataset: what it contains, how big it is, what period it covers, where it came from, how it was cleaned and what rights go with it. A lab reads it before asking for a sample. | How a deal runs | https://aitrainingdatabroker.com/how-it-works/ |
gls-014 | Data licensing | Letting an AI lab use a copy of your data under written terms. You keep ownership and keep using the data yourself. You license data; you do not sell it. | Sell or license your data | https://aitrainingdatabroker.com/sell/ |
gls-015 | Data room | A controlled place where an approved sample is reviewed. Access is limited to named people, and the company decides what goes in. | How a deal runs | https://aitrainingdatabroker.com/how-it-works/ |
gls-016 | Data valuation calculator | Our free tool that asks a few questions about your records and returns a rough range. It is an estimate, not a final offer: a real offer needs a sample and comes in writing. | What's my data worth? | https://aitrainingdatabroker.com/tools/data-value-calculator/ |
gls-017 | Date shifting | Moving every date in one person's records by the same random number of days, so the order and spacing of events stay but the real dates are hidden. Under the US health rule, dates other than the year are among the identifiers to remove unless an expert approves another method. | De-identification | https://aitrainingdatabroker.com/de-identification/ |
gls-018 | De-identification | Removing or replacing the personal information in data, then testing whether anyone could still be identified. Each privacy law sets its own test, so the work is done to the strictest one that applies. | De-identification service | https://aitrainingdatabroker.com/de-identification/ |
gls-019 | Deviation report | A written record, in a regulated plant, of a time when a step did not go as the procedure says. It holds the investigation, the cause and the fix. With the product, batch and staff details removed, it shows how a team solves a problem. | Pharma companies | https://aitrainingdatabroker.com/sell/pharma-companies/ |
gls-020 | Egocentric data | Video recorded from the point of view of the person doing a task, for example from a head or chest camera. Labs look at it to learn how hands-on work is done. It often shows other people, so consent, blurring and audio removal matter. | Egocentric video | https://aitrainingdatabroker.com/egocentric-video/ |
gls-021 | Embargo | A hold on the release of a thesis or paper until a set date, usually set by the school or a sponsor. Work under an embargo is not ready to be listed until the hold ends. | Theses and dissertations | https://aitrainingdatabroker.com/data/theses-and-dissertations/ |
gls-022 | Escrow | Money held by a neutral third party and released when stated conditions are met. In a data deal it can protect the seller from nonpayment and the AI lab from paying for data that does not arrive. | How you get paid | https://aitrainingdatabroker.com/sell/how-you-get-paid/ |
gls-023 | Eval | A test an AI system can sit. It has a task, a way to check the result and a score. Good evals are built from real work, which is one reason labs look for company records. | What is recursive self-improvement? | https://aitrainingdatabroker.com/slides/recursive-self-improvement-ai-labs-company-data/ |
gls-024 | Exclusive broker agreement | A written agreement for a fixed period under which one broker presents your data to AI labs. It exists so the broker is not duplicating effort and can keep good relationships with the labs. It is different from an exclusive license to a lab, which is a separate term worked out in the deal. | Check an offer | https://aitrainingdatabroker.com/check-an-offer/ |
gls-025 | Expert Determination | One of the two ways to de-identify health data under the US health privacy rule. A qualified expert in statistics finds that the risk of identifying anyone is very small and documents the methods and results. We do not make this determination; the expert does. | United States rules | https://aitrainingdatabroker.com/regions/us/ |
gls-026 | Fine-tuning data | Examples used to adapt an existing model to a task or an industry. Company records, once cleaned, can serve as fine-tuning examples. | ||
gls-027 | Ground-truth label | The correct answer recorded next to each example, such as whether a claim was paid. A model learns from it, so a label entered by hand and sometimes forgotten teaches less than one produced by a system rule. | Labeled tables and datasets | https://aitrainingdatabroker.com/data/labeled-tables-and-datasets/ |
gls-028 | Hand-object interaction | How a hand reaches, grasps, holds, moves and lets go of an object. In egocentric video it is labeled so a model can learn fine manipulation, such as which finger holds a tool and when contact starts and ends. | Egocentric video annotation | https://aitrainingdatabroker.com/egocentric-video/annotation/ |
gls-029 | Health Breach Notification Rule | A US Federal Trade Commission rule that covers health apps and similar services that HIPAA does not cover. It was updated in 2024. Patient data stays private whichever rule applies. | Health tech companies | https://aitrainingdatabroker.com/sell/health-tech-companies/ |
gls-030 | Indemnification | A promise to cover another party's losses from stated problems, such as a claim caused by your breach. In a data license it says who pays if something goes wrong, and it is often paired with a limit on the amount. | Who answers for what | https://aitrainingdatabroker.com/sell/liability/ |
gls-031 | Limitation of liability | A contract clause that caps what one side can be asked to pay. Many data licenses tie the cap to the fees received, with exceptions the contract lists. | Who answers for what | https://aitrainingdatabroker.com/sell/liability/ |
gls-032 | k-anonymity | A check that every combination of identifying details in a dataset, such as age band, town and job title, is shared by at least k people. If one combination belongs to one person, that person can be picked out. | De-identification | https://aitrainingdatabroker.com/de-identification/ |
gls-033 | Motivated intruder test | A re-identification check used by the UK regulator. You ask whether a reasonably competent person with ordinary resources, such as the internet and public records, who is determined to identify people, could do so from the data. | United Kingdom rules | https://aitrainingdatabroker.com/regions/uk/ |
gls-034 | PHI | Protected health information: health data that identifies a person, held by an organization covered by the US health privacy rule. It leaves a covered organization only by a permitted route. | United States rules | https://aitrainingdatabroker.com/regions/us/ |
gls-035 | PII | Personally identifiable information: anything that points to a person, such as a name, email address, phone number, account number, or a detail that identifies them in combination with others. | What counts as PII | https://aitrainingdatabroker.com/de-identification/#pii |
gls-036 | Perpetual use rights | A license with no end date for the data the lab has already trained on. A trained model cannot give the data back, so use rights are usually perpetual. Exclusivity is different and is never perpetual. | Check an offer | https://aitrainingdatabroker.com/check-an-offer/ |
gls-037 | Physical AI | AI that acts in the physical world, such as robots and other embodied systems. It learns from footage and sensor data of real tasks, which is why labs look for egocentric video. | Video for robotics and physical AI | https://aitrainingdatabroker.com/egocentric-video/robotics-and-physical-ai/ |
gls-038 | Provenance memo | A short record of where a dataset came from, who owns it, how it was collected and cleaned, and which agreements cover it. It lets a lab and its counsel check the data without asking you to repeat the story. | What we will not broker | https://aitrainingdatabroker.com/sell/what-we-will-not-broker/ |
gls-039 | Pseudonymization | Replacing names and identifiers with codes while a key still links them back. The result is still personal data for whoever can use the key, so codes for names are not enough on their own. | Privacy rules by region | https://aitrainingdatabroker.com/regions/ |
gls-040 | Quasi-identifier | A detail that does not name a person but can identify them when combined with others, such as age, postal code and a rare diagnosis, or a job title and a start date. | De-identification | https://aitrainingdatabroker.com/de-identification/ |
gls-041 | Re-identification | Working out who a person is from data that was cleaned. A de-identification record shows how the risk was tested and who could attempt it. | De-identification | https://aitrainingdatabroker.com/de-identification/ |
gls-042 | Reinforcement learning (RL) environment | A practice setting where an AI attempts a task, gets a score and tries again. Labs build them from real business workflows: the task, the grader and the recorded attempts. | What labs build from workflow data | https://aitrainingdatabroker.com/workflows/ |
gls-043 | Restricted transfer | Sending personal data to an organization in another country in a way a privacy law limits. The UK and the EU require a transfer tool such as an adequacy decision or approved contract terms; other regions have their own rules. | Privacy rules by region | https://aitrainingdatabroker.com/regions/ |
gls-044 | Rights-clean data | Data the company owns or may license, with no third-party claim and no contract that bars the use. It is checked before a sample is shown. | What we will not broker | https://aitrainingdatabroker.com/sell/what-we-will-not-broker/ |
gls-045 | Safe Harbor | One of the two ways to de-identify health data under the US health privacy rule. It removes a list of 18 kinds of identifiers, such as names, small geographic areas, most dates, phone numbers and record numbers, and requires that there is no actual knowledge the rest could identify someone. | United States rules | https://aitrainingdatabroker.com/regions/us/ |
gls-046 | Safeguards Rule | A US Federal Trade Commission rule for financial companies. It says covered companies must protect customer information, meaning private details about their customers, and hold their service providers to the same standard by contract. | Fintech companies | https://aitrainingdatabroker.com/sell/fintech-companies/ |
gls-047 | Sample | A small slice of your data, de-identified and approved by you before it leaves, that a lab reviews to judge the whole set. No one can price company data without seeing a sample. | How a deal runs | https://aitrainingdatabroker.com/how-it-works/ |
gls-048 | SOP | A standard operating procedure: a written method for how a task is done, with its revisions. In a regulated plant each change comes with a stated reason, which makes it useful material for an AI lab. | SOPs and knowledge bases | https://aitrainingdatabroker.com/data/sops-and-knowledge-bases/ |
gls-049 | Special category data | Personal data that privacy laws such as the UK and EU GDPR treat as more sensitive: health, racial or ethnic origin, political opinions, religion, union membership, genetic and biometric data used to identify someone, and sex life or orientation. Free text in tickets and emails can contain it by accident. | European Union rules | https://aitrainingdatabroker.com/regions/eu/ |
gls-050 | Trajectory | The recorded sequence of steps an agent or a person took on a task, with the result. It shows how the work was done, not only the answer. | Sell workflows | https://aitrainingdatabroker.com/workflows/ |
gls-051 | Training data | The examples a model learns from. For company data, the useful part is usually the chain from a request to an outcome, not an isolated file. | What kinds of records can be licensed | https://aitrainingdatabroker.com/data/ |
gls-052 | VLA model | A vision-language-action model. It takes camera images and an instruction in words and produces the actions to carry it out. Egocentric video of people doing tasks is one source of training examples for it. | Video for robotics and physical AI | https://aitrainingdatabroker.com/egocentric-video/robotics-and-physical-ai/ |
gls-053 | Work made for hire | Work an employee creates as part of the job, which US copyright law treats as owned by the employer and not by the person who wrote it. Contractors and commissioned work follow different rules. | Theses and dissertations | https://aitrainingdatabroker.com/data/theses-and-dissertations/ |
gls-054 | Workflow data | How a team gets work done, captured as documented processes, recorded task runs or AI-assisted tasks. It is priced per workflow, and what is captured is agreed with you first. | Sell workflows | https://aitrainingdatabroker.com/workflows/ |
Data Licensing Glossary
Terms used when companies license data to AI labs, each with a plain definition: AI lab, de-identification, indemnity, exclusivity and more.
All text is our own, taken from pages we publish at aitrainingdatabroker.com. Nothing comes from a customer.
Size
54 train rows.
Fields
| Field | Meaning |
|---|---|
id |
gls-001 and up |
term |
the word or phrase |
definition |
what it means, in one to three sentences |
see_also |
the page it points to |
see_also_url |
that page's address on the site |
Load it
from datasets import load_dataset
ds = load_dataset("aitrainingdatabroker/data-licensing-glossary", split="train")
print({r["term"]: r["definition"] for r in ds}["AI lab"])
Limits
- Definitions are written for owners and teams, not as legal definitions.
- This is general information, not legal advice and not a certification. Laws and market practice change; ask your counsel and, where a rule requires one, a qualified expert.
Read more
License and credit
CC BY 4.0. Please credit AI Training Data Broker and link to https://aitrainingdatabroker.com/ when you share or build on it.
About
AI Training Data Broker is a broker and technical advisor for companies that sell or license their data to AI labs. It guides the technical side, including export, format, de-identification and compliance, and publishes free guides, checklists and tools.
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