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Context is important in AI because it allows AI systems to understand the meaning of information in a way that is relevant to the situation; in which data is accessed, used, and shared. This includes managing access controls, data classification, and data usage policies. Without context, AI systems would be unable to make accurate predictions or decisions; effective context management is critical for ensuring data security and privacy, as it helps to prevent unauthorized access, misuse, and data breaches. Context management in computing involves identifying, gathering, and utilizing relevant information to enable effective decision-making and action. There are various research and standards on managing context in the computing field. Here are some of them:

  • Context Modeling: One of the key research areas in context management is context modeling. The aim is to create a framework for representing context data in a structured and meaningful way that can be easily understood and utilized by various applications. The Context Modeling Language (CML) is an example of such a framework.
  • Context Awareness: Another research area is context awareness. Context-aware systems can automatically adapt their behavior based on the current context. For instance, a smartphone that adjusts its settings (such as screen brightness and volume) depending on the user's location, time of day, and other contextual factors.
  • Context Integration: Context integration refers to the process of combining context data from multiple sources to enable a more comprehensive understanding of the current situation. Research in this area aims to develop techniques for integrating context data from different sources, such as sensors, social media, and the web.
  • Context Standards: Standards are essential for ensuring interoperability and compatibility between context-aware systems. The Open Geospatial Consortium (OGC) has developed several standards for context management, including the Sensor Observation Service (SOS) and the Web Processing Service (WPS).
  • Privacy and Security: Managing context data raises several privacy and security concerns. Research in this area aims to develop techniques for protecting personal information while still enabling effective context management.

Contextual AI: The Next Frontier of Artificial Intelligence - Oliver Brdiczka

For example, consider the sentence "The cat is on the mat." This sentence can have different meanings depending on the context...

  • If the sentence is spoken in a pet store, it is likely referring to a real cat that is sitting on a real mat.
  • However, if the sentence is spoken in a metaphor, it could be referring to something else entirely, such as a person who is always lazy or someone who is always getting into trouble.

AI systems that are able to understand context can make more accurate predictions and decisions. For example, an AI system that is used to recommend products to customers could use context to determine which products are most likely to be of interest to a particular customer. The AI system could take into account factors such as the customer's location, past purchases, and interests.

Context is also important for AI systems that are used to generate text. For example, an AI system that is used to write news articles could use context to determine the tone and style of the article. The AI system could take into account factors such as the target audience, the subject matter, and the overall tone of the publication. Overall, context is an important concept in AI. By understanding context, AI systems can make more accurate predictions and decisions, and they can generate text that is more relevant to the situation.

Here are some of the benefits of using context in AI:

  • Improved accuracy: AI systems that can understand context can make more accurate predictions and decisions.
  • Increased relevance: AI systems that can understand context can generate text that is more relevant to the situation.
  • Enhanced user experience: AI systems that can understand context can provide a more personalized and engaging user experience.
  • Reduced bias: AI systems that can understand context can be less likely to make biased decisions.


There are a number of challenges associated with using context in AI, including:

  • Data collection: Context can be difficult to collect, as it can be spread across multiple sources.
  • Data labeling: Context can be difficult to label, as it can be subjective and open to interpretation.
  • Model complexity: Context can make AI models more complex, as they need to be able to understand and process a wider range of information.
  • Security: Context can make AI systems more vulnerable to attacks, as they need to be able to access and process sensitive information.

How Do Chatbots Use Context?

Chatbots employ context in various ways to enhance their capacity to comprehend and address user inquiries. The ability to grasp context is the differentiating factor between an AI chatbot and a search engine. Nevertheless, there is a growing convergence between these two domains. For instance, Bing AI functions as an AI search engine while also incorporating an AI chatbot feature. The degree of contextual comprehension is contingent upon the underlying language model and its training. Perplexity exhibits greater speed, whereas ChatGPT Plus excelled in terms of contextual understanding. This is why ChatGPT Plus surpasses the majority of other chatbots in providing detailed and insightful responses. When an AI chatbot grapples with contextual comprehension challenges, it may resort to producing hallucinatory and irrational responses. It is worth noting that these chatbots have the capability to access real-time web information and maintain a reasonably respectable level of contextual understanding. Chatbots use context to:

  • Identify the intent of the user's query. Chatbots use the context of the query to determine what the user is trying to achieve. For example, if the user asks "What is the capital of France?", Chatbots know that the user is trying to find the answer to a factual question. However, if the user asks "What is your favorite city in France?", Chatbots know that the user is trying to get a personal opinion.
  • Identify the meaning of words and phrases. The meaning of words and phrases can change depending on the context in which they are used. For example, the word "bank" can refer to a financial institution or to the side of a river. Chatbots use the context of the query to determine the correct meaning of words and phrases.
  • Resolve ambiguity. Many queries can be interpreted in multiple ways. For example, the query "What is the meaning of life?" can be interpreted as a philosophical question or as a request for a definition. Chatbots use the context of the query to resolve ambiguity and provide the most relevant response.
  • Generate creative text formats. Chatbots can generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc., based on the context of the query. For example, if the user asks a Chatbot to write a poem about love, Chatbots will generate a poem that is relevant to the topic of love.

Overall, Chatbots use context to improve its ability to understand and respond to user queries. By understanding the context of a query, Chatbots can provide more accurate, relevant, and creative responses.


In the realm of contextual AI, the concept of "intelligible" stands as a foundational pillar. It represents the critical capacity of AI systems to not only possess knowledge and perform tasks but also to transparently and comprehensibly communicate their thought processes. Research in this field is rapidly advancing, aiming to make AI systems more accountable and user-friendly. Scientists and engineers are actively developing algorithms and techniques that enable AI to Explainable AI|explain not only what it knows but also how it acquired that knowledge, and the rationale behind its actions. This pursuit is essential for building trust in AI systems, as it allows users to better understand the decisions and recommendations provided by these intelligent agents. Moreover, this research not only has implications for improving user interactions with AI but also holds promise in fields like healthcare, finance, and law, where transparency and accountability are of paramount importance. As the development of intelligible AI continues, we move closer to AI systems that not only perform tasks effectively but also empower users with meaningful insights into their inner workings.

In the realm of contextual AI, the pillar of "adaptive" plays a pivotal role, emphasizing the AI's ability to meet users' expectations and deliver optimal performance in diverse and dynamic environments. Scientists and engineers are focused on developing AI models that can autonomously adapt their behavior, preferences, and decision-making processes based on the context in which they operate. This involves exploring various machine learning techniques, including reinforcement learning and continual learning, to ensure that AI systems can seamlessly transition from one environment to another without compromising their effectiveness. Additionally, researchers are investigating methods to make AI systems more aware of the context they're in, allowing them to fine-tune their responses and actions to align with user expectations. As AI adaptivity continues to evolve, we can expect more intelligent, context-aware systems that consistently deliver relevant and valuable experiences to users across a wide array of situations and scenarios. This research has profound implications not only in improving user satisfaction but also in enhancing the utility of AI across industries such as autonomous vehicles, healthcare, and customer service.

In the domain of contextual AI, the pillar of "customizabile" stands as a vital component, emphasizing the AI's capacity to be tailored and controlled to a significant degree by the user. Scientists and engineers are exploring innovative techniques and interfaces that allow users to customize various aspects of AI behavior, from fine-tuning its responses to defining its ethical guidelines and privacy parameters. This research not only aims to provide users with a sense of agency and trust in AI but also addresses concerns related to bias and fairness by allowing users to influence the AI's decision-making processes. Moreover, customization research is expanding into areas like personalization, where AI systems can adapt and learn from user feedback to continuously improve their performance. As this field evolves, we can anticipate AI systems that are not only powerful but also highly adaptable and responsive to individual user requirements, ensuring that AI serves as a valuable tool that aligns seamlessly with user objectives and values.

In the realm of contextual AI, "context-aware" stands as a pivotal pillar, signifying the AI's capability to perceive its surroundings and understand them at a level akin to human comprehension. Research in this area is a frontier where scientists and engineers are pushing the boundaries of AI's sensory and contextual awareness. This entails developing AI systems that can not only interpret data and information but also perceive the subtle nuances, emotions, and environmental cues that humans naturally pick up on. Cutting-edge research explores advancements in computer vision, natural language processing, and sensor integration to enable AI systems to process and contextualize information much like a human would. The goal is to create AI that can adapt to ever-changing situations, understand social dynamics, and respond with a level of empathy and nuance that enhances user interactions. As context-aware AI research progresses, it holds the potential to revolutionize various fields, from healthcare to customer service, by enabling AI to function as more than just a tool but as a perceptive, empathetic, and contextually astute partner in our daily lives.

Graphs Provide Power of Context for AI and ML - GraphConnect highlights
Graphs provide the "power of context and the power of connections" for artificial intelligence. This video provides highlights from GraphConnect 2018 on Artificial Intelligence and Machine Learning -- from Neo4j and some of our large enterprise customers and community members such as EY, UnitedHealthcare and Citigroup. Hilary Mason of Cloudera Fast Forward Labs closes it out discussing the opportunity businesses have with graphs and AI/machine learning..

Creating Context Aware Artificial Intelligence (AI) in Marketing
eContext – Creating Context Aware Artificial Intelligence (AI) in Marketing eople are underestimating the importance of the data set that you are training against to provide these anomalies. Where I believe that we differentiated at eContext as we have this capacity in real-time to take third party unstructured data sets and create a structure knowledge based which they can do their own machine learning or deep learning. There's also a big distinction from machine learning, whether you were able to do AI based on AGI (Artificial General Intelligence) or ANI (Artificial Narrow Intelligence). So we hear a lot about artificial narrow intelligence versus artificial general intelligence. ANI is where you are asking your learning algorithm to do narrow, specific tasks. Some of these things they're doing very well. For example, machine translation work is using deep learning very effectively as well as image recognition. But when it comes to AGI, this is an area that the marketing world needs to embrace because we're taking a holistic view or your audience, and their preferences, and their interests in order to clearly understand those interests across all verticals and all categories. But that's very hard for AI to do that because we're many miracles away from understanding, in the correct context human conversations from an AI perspective. There are a number of things they are doing to try and understand patterns and recognize these anomalies but to really be effective you have to have an understanding across all verticals. So we believe that the approach of lending curated taxonomy work with Artificial Intelligence is the way forward and probably will be for many years to come. Despite what people tell you in Silicon Valley or in newspapers. So what does that mean from a perspective of a marketer. Well. If you're able to take unstructured text and structure that across all verticals then that general understanding is what's known as a general index.

It's All About Context | Simon Sinek
One of the great things about the infinite mindset is that it forces you to take a wider perspective. In order to have a true understanding of something, you have to look at it within its context. Nothing is quite what it seems. Simon is an unshakable optimist who believes in a bright future and our ability to build it together. Described as “a visionary thinker with a rare intellect,” Simon teaches leaders and organizations how to inspire people. With a bold goal to help build a world in which the vast majority of people wake up every single day feeling inspired, feel safe at work, and feel fulfilled at the end of the day, Simon is leading a movement to inspire people to do the things that inspire them. Simon is the author of multiple best-selling books including Start With Why, Leaders Eat Last, Together is Better, and Find Your Why. His new book, The Infinite Game, will be released in 2019. Simon’s WHY: To inspire people to do the things that inspire them so that, together, each of us can change our world for the better. Website:

Content Vs. Context
Good leaders pay attention to the content of their business, conscious leaders also pay attention to context. They ask, "From where is the conversation occurring?"

Context Enabled Computing
by Jeff Boleng and Marc Novakouski The most precious resource people have in today’s ever-connected world is their attention. Human interaction with information systems has continually shrunk from hours behind a terminal, to minutes interacting with a cell phone screen, to only 3–5 seconds glancing at a smart watch or wearable device. The key to making information immediately understood and actionable in the era of glance-able interaction is understanding context and, eventually, user intent. People inherently understand context. They naturally apply the context of a situation or conversation during everyday activities. Information systems, on the other hand, apply a user’s context to the task at hand in very different ways. To improve the way that information systems use context, our research has focused on individual and group context supporting dismounted soldiers and first responders operating in edge environments. The goal of our research in context-enabled computing is to ensure that the right information is delivered to the right individual at the right time to ensure mission success. In this webinar, we will cover a wide variety of research activities associated with our efforts to better leverage context for information delivery and sensor tasking. Software Engineering Institute | Carnegie Mellon University

Computing and the Human Context
Watch Jeff Boleng in this SEI Cyber Minute as he discusses "Computing and the Human Context" Software Engineering Institute | Carnegie Mellon University

What is context?
Associate Professor Mark Amsler from the School of Cultures, Languages and Linguistics at the University of Auckland talks about his big question, “What is context?” Amsler is currently working in the areas of medieval studies, history of linguistics, and cultural theory, moving between earlier periods and the contemporary scene. He is especially interested in pragmatics and written discourses, focusing on interactions in spoken and written texts. Heretical, nonconformist, and alternative communities are of particular interest in his current work, as well as vague language, language mixing, and genre play. Mark Amsler is an Associate Professor in European Languages and Literature at the University of Auckland. He is an expert in critical theory and semiotics. For more:

Understanding the Context of an Organization
In section 4 of the ISO55001 we are asked to consider the context of the organization. Every organization is different. A hospital will operate in a completely different context to that of a bus company. A Naval fleet will operate in a different context to ferry company and so on. Quite often in change, there is a temptation to jump in and start a change journey with assumptions. ISO section 4 is the most useful section for anyone in change because it takes us back to the Why we are here. Structured Change brings together Asset Management and Change Management principles in order to deliver sustained Asset Management excellence to organizations. Our Presenter and Founder, Martin Kerr has over 20 years’ hands on experience in Asset Management and Change Management. Martin is a Certified Fellow in Asset Management (CFAM), a Certified Asset Management Assessor (CAMA) and a Certified Practicing Project Director (CPPD). Martin is also a regular industry speaker on Change and Asset Management Leadership and is a volunteer with the Asset Management Council of Australia and the Global Forum for Maintenance and Asset Management.

Content without Context is Useless | Sanjay Shenoy | TEDxCovelong
Sanjay Shenoy, a content marketing expert, dwells upon how content without context is useless and sometimes can be harmful with implications which are far-reaching than you think. To understand this, he takes us back in time to understand the evolution of information (content) creation, storage and transmission. His idea, although sounds counterproductive, might be where we are inadvertently headed to. He also talks about how you, as an individual or as an organisation can make content more impactful. Sanjay is an ace content marketer with 10+ years of experience in helping companies to grow through content marketing. He believes that understanding the audience is the key to delivering successful digital marketing campaigns and hopes to bring the same level of understanding into education to create a much deeper impact. He is currently the co-founder of PixelTrack, a boutique digital marketing agency. He has worked with a multitude of startups to help them engage an audience online and also has trained and consulted Fortune 500 companies like Mercedes Benz, Nikon & more. When he is not strategizing campaigns or writing or teaching, he loves to travel to unchartered terrains or play sports. He is currently co-authoring a book on digital marketing to reach a wider audience and create awareness about the potential of digital marketing. And he blogs at This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

TEDxSomerville: Sam Sommers - The Hidden Power of Context
One of the strongest influences to shape human nature is also one that we usually overlook: context. Where we are, who we're with, and what's going on in our lives at any given moment transform what we think, how we act, and who we really are. Sam Sommers tells us what you can learn from your next situation. Sam is an associate professor of psychology at Tufts University. His research examines how people think, communicate, and behave in diverse settings. His first book, Situations Matter, written for a general audience, was published in December 2011. Sam has won multiple awards at Tufts, including the Lerman-Neubauer Award for Outstanding Teaching and the 2009 Professor of the Year. He blogs regularly on the psychology of everyday life for Psychology Today and Huffington Post.

Context Based Learning - Learning through Understanding | Dr. Sergio Sedas Gersey | TEDxChennai
Sergio Sedas Gersay -- Robotics Expert and Motivational Speaker(Mexico) Dr. Sergio Sedas has dedicated the last twenty years towards establishing high-tech companies and creating programs that inspire youth and professionals. He completed his Masters and Ph.D at Carnegie Mellon University, where he worked on developing Dante, the first robot in history to enter an active volcano in Antarctica. Dr. Sedas, who has held senior management positions at Philips, Tech de Monterey, and Techmatic has also authored many programs such as "No Limits", "I Bet You Can't", "Context Based Learning", and "Learning Through Experience" to motivate and inspire youth to learn. Dr. Sedas has enthralled audiences at several institutions

Using Context to Determine Hidden Meaning | Eleni Christodulelis | TEDxOhioStateUniversity
Eleni Christodulelis is a linguist whose research focuses on what we really mean by what we say. In this talk she shows how little words called “determiners”, when used with peoples’ names, reveal the speaker’s attitude toward the person they’re talking about. She uses this phenomenon to illustrate how speakers of all languages take advantage of the richness of context to convey more than what they “say”. Eleni Christodulelis is a PhD student in Hispanic Linguistics and a Graduate Teaching Associate in Spanish at OSU. Raised in a Greek/English bilingual home, the presence of her heritage language in her early childhood sparked her interest in language as a whole and exposed her to the importance of multilingual competence. She learned Spanish early in her schooling in Southern California and Portuguese in college, and it was in these latter years that her main research focus, and the topic of her TEDx talk, was cultivated. Eleni strives to share her appreciation of language as a key to the workings of the human mind with the students in her upper level undergraduate Hispanic Linguistics courses. She believes that our shared ability to interpret contextualized meaning irrespective of our individual language backgrounds speaks to the indivisible connection between language and its use in social interaction. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Change Journey Introduction
The Change Journey is a radical approach to change. It is based on the paradigm that change in organizations is not a linear path from A to B. As many of us experience, what happens in a change process is largely unpredictable. Our Change Journey Map then helps you to navigate through uncertainty. This Map is inclusive - which means whatever tools and models you are used to can be incorporated. For all of you who are involved in a change process - we invite you to become a fellow traveller! More info at

Using context clues to figure out new words | Reading | Khan Academy
When you're reading, it can be frustrating to encounter words you don't know! Try out these strategies, and use the word's context to figure out the word's meaning.

Context for Communication

Context is critical in communication because it helps the receiver understand the importance of something, what assumptions to draw about what is being communicated, and most importantly, it puts meaning into the message. Understanding, blending, and tailoring your content to the context will increase the likelihood of being heard and understood and create an action-driven behavior upon your receptors.

AI systems use context to exchange information in a variety of ways. For example, contextual AI enables systems to interpret information the same way a human would. From analyzing wording and sentiments to recognizing cultural and environmental contexts, this “intuitive” understanding allows AI systems to produce more in-depth, relevant, and accurate outputs². Some examples of how AI uses context to exchange information include chatbots and virtual assistants that have a real-world interpretation of language, audio, video, and images so they can behave less like traditional computers and more like humans². Is there anything else you would like to know?

Contexts of communication are:

  • Cultural: how the culture impacts communication
  • Temporal: the expectations people have for the communication based on past behaviors
  • Social-psychological: the feelings and relationships present
  • Physical: the area and physical aspects as communication takes place
  • Analyzing wording
  • Sentiments
  • Environmental


IDEAS is an acronym that stands for Inference, Definition, Example, Antonym, and Synonym. It is a method used to understand new words by looking at the words around a new word to guess its meaning. Context clues are hints or suggestions that help readers figure out the meaning of unfamiliar words by looking at the words and sentences around them. By using the IDEAS method, readers can use these different types of context clues to figure out the meaning of new words and improve their reading comprehension.

Using context clues...

  • Inference - The meaning is not given so you must use text clues to infer what the unknown word means.
  • Definition - The author will include the actual definition of the word. Look at the sentence after the unknown word to see if the author explains what the word means.
  • Example - There might be an example of what the unknown word looks like in action. Do the sentences before or after give you an example?]
  • Antonym - Sometimes we can figure out unknown words because the author will provide the antonym nearby
  • Synonym - You might be able to figure out the unknown word by looking for synonyms. Are there other words that are listed that are similar to the unknown word?]

'Context' | Wikipedia

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