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AI is increasingly a component of virtually every business function and enhances millions of workflows daily. We developed this in-plain-English AI terms crib sheet to help you understand the key terms you may encounter while working with AI solutions. We hope you find it useful.
A set of rules or instructions that a computer follows to solve a problem or complete a task. Think of it like a recipe.
Computer systems that can perform tasks that usually require human intelligence, like learning, problem-solving, and decision-making.
The degree to which an AI system consistently performs accurately and as expected, is trustworthy, and minimizes errors or harmful outcomes.
A structured approach to ensure AI systems consistently perform as intended, are trustworthy, and minimize potential harms. This framework should encompass five key components:
Using AI or other technologies to perform tasks automatically, without human intervention.
Comparing the performance of different AI models to see which one works best for a specific task. Think of it like testing different cars to see which one is fastest or most fuel-efficient.
When an AI system makes unfair or skewed decisions because of flaws in the data it was trained on.
A California state law that gives consumers more control over the personal information that businesses collect about them. Laws like the CCPA matter for AI because they tell companies how they can (and cannot) use people's data. This ensures AI models are built in a way that protects privacy and follows the rules.
The guidelines in the state of Virginia governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
A computer program designed to simulate conversation with human users. Chatbots are often built for customers or internal tool users who are not data scientists.
Using remote servers over the internet to store, manage, and process AI data and applications, rather than local servers or personal computers.
The guidelines in the state of Colorado governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
AI that provides predictable and stable performance over time, regardless of changes in data or usage. It's like a reliable car that always starts and runs smoothly.
The process of always getting better. In AI, it means that the AI is always being tuned and improved.
The act of an AI to continue to learn and adapt to new information to improve speed, accuracy, and outcomes.
Explanations that tell you what would have to change in the input data to get a different output from the AI. Essentially, "what if" scenarios.
The guidelines in the state of California governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The guidelines in the state of Connecticut governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
A professional who focuses on analyzing existing data to extract meaningful insights and trends. They primarily use statistical methods and visualization tools to understand past performance and identify patterns, often answering specific business questions. Data Analysts typically work with structured data and provide reports or dashboards to inform decision-making.
The process of examining raw data to draw conclusions about that information.
Converting data into a secret code to prevent unauthorized access. It's like locking your valuable information in a safe.
The overall management of the availability, usability, integrity, and security of data in an enterprise.
The process of discovering patterns and insights from large datasets.
Protecting sensitive information from unauthorized access or misuse. This is crucial for building trust with customers and complying with regulations.
A professional who goes beyond analyzing existing data to build predictive models and develop algorithms using machine learning and advanced statistical techniques. They explore complex datasets, including unstructured data, to uncover hidden patterns and create solutions for future predictions or automated decision-making. Data Scientists often design and implement new data processes and tools, and work on more open-ended, research-driven problems.
Measures taken to protect data from cyber threats, breaches, and unauthorized access. It's like having a strong lock on your valuable information.
Actively teaching users how and why an AI makes its choices.
A type of AI that uses neural networks with many layers to learn complex patterns from data.
The guidelines in the state of Delaware governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
Data that is very specific to a certain industry, or type of business, like personal finance or cancer treatment.
India’s law regarding the protection of digital personal data. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The process of gathering user input, and using that input to improve the AI.
The guidelines in the state of Florida governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
A European Union law that protects the personal data and privacy of individuals within the EU.
AI that can create new content, like text, images, or music, based on what it has learned from existing data.
AI that bases its outputs on verifiable and accurate information, minimizing the risk of "hallucinations" (making up facts). It's like ensuring your AI is using reliable sources.
When an AI system generates false or fabricated information and presents it as if it were true.
A U.S. federal law that protects the privacy and security of individuals' health information.
The guidelines in the state of Iowa governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The guidelines in the state of Indiana governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
An international standard for information security management systems.
A way to represent information in a network, where things are connected to other things. This allows AI to understand relationships between data.
A very large AI model designed to understand and generate human-like text.
A type of AI that allows computers to learn from data without being explicitly programmed.
When an AI model's performance declines over time because the data it's processing has changed.
Instructions that are given to an AI model to make it act in a certain way.
The guidelines in the state of Montana governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
AI models that are designed to understand, and generate human-like language.
A computer system modeled after the human brain, used for tasks like image recognition and natural language processing.
The guidelines in the state of New Jersey governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The guidelines in the state of Oregon governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The process of making an AI system as efficient and effective as possible.
Checkpoints that are used to ensure the AI output is usable and correct.
Visualizations that show how a change in a feature affects the AI output.
Industry standards that businesses must follow when handling credit card information.
PIPEDA is the Canadian privacy law that is frequently compared to GDPR and CCPA. It governs the topic of data privacy, and how private-sector companies can collect, use and disclose personal information. Consult your legal team for information on this law when you are conducting business in Canada or with Canadians.
AI systems that use data patterns and algorithms to forecast future outcomes or trends. It's like using past weather data to predict future weather patterns, but applied to business scenarios.
AI models that are run on a company’s private servers, and not on public servers..Private AI models help protect data security and proprietary approaches to problem-solving.
The act of carefully crafting the input given to the AI, so that the AI gives a desired output.
AI models that are run on public servers.
AI systems that can process data and provide results instantly or very quickly.
A method for AI to get information from external databases in real time to increase accuracy.
The ability of an AI system to handle increasing amounts of data or users without losing performance.
Methods used to make sure that the AI is developed in a secure manner.
The guidelines in the state of Texas governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The guidelines in the state of Tennessee governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
The ability to follow the trail of data, and how it was used by the AI.
The data used to teach an AI model how to perform a task.
Making the AI's decision-making process clear and understandable to users.
The confidence that users have in the reliability, accuracy, and ethical behavior of an AI system.
The guidelines in the state of Utah governing data privacy. These guidelines are often compared to frameworks like GDPR or CCPA. But there are differences. Consult your legal department for more information.
Data that is not organized in a clear manner. Like text documents, or images.
AI systems that provide clear explanations of how they arrive at decisions. This helps users understand and trust the AI's outputs, rather than treating it like a "black box."
We hope you find this AI terms crib sheet a useful resource. Our team would be delighted to meet with you to discuss your AI needs and the right way to develop and deploy transformational AI solutions. Our “human experts + Agentic AI model” provides the best and fastest approach to delivering the AI-powered solutions you need to drive measurable and meaningful ROI gains. Contact us for a consultation today.
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