Draft:Contextual intelligence

Submission declined on 29 August 2024 by Sohom Datta (talk).

As it stands now, this draft is mostly a hoax. There are a lot of papers talking about contextual intelligence in humans, and making AI use "contextual information" provided to solve tasks. There seems to be zero usage of the term "contextual intelligence" in the context of AI in scholarly (and non-scholarly) publications.

Coming to this article itself, this feels like it was generated by an LLM. Non of the writing makes any sense wrt to the reality of AIs current capabilities. Also, the citations appear to just be decoration, non of the sources point to anything that the article talks about.

TLDR: This article needs to be thrown away and rewritten, there are many scholarly direction this particular topic can be taken, but "context intelligence in AI" is not one of them.

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Declined by Sohom Datta 3 months ago. Last edited by Citation bot 2 months ago. Reviewer: Inform author.

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Contextual Intelligence in Artificial Intelligence (AI) refers to the capability of AI systems to understand and adapt to the broader situational context in which they operate. This ability goes beyond predefined rules and datasets, enabling AI to function more effectively in dynamic and complex environments.^[1].

Definition and Scope

Contextual Intelligence in AI encompasses several aspects, including the ability to interpret situational variables, learn from evolving contexts, and apply knowledge flexibly across different scenarios. It represents a significant advancement over traditional AI systems, which rely heavily on static data and fixed rules.

Key Components

Situational Awareness: AI systems equipped with contextual intelligence can recognize and interpret various situational elements, such as environmental conditions, user behaviors, and temporal changes^[2].
Adaptability: These systems can adjust their operations based on real-time contextual data, leading to more relevant and accurate responses^[3].
Transferability of Knowledge: Contextual intelligence allows AI to apply learned knowledge from one context to another, enhancing its versatility and performance across different tasks^[4].

Applications

Healthcare: Contextually intelligent AI can provide more accurate diagnoses and treatment recommendations by considering patient history, environmental factors, and real-time health data^[5].
Education: In educational technologies, contextual intelligence helps in personalizing learning experiences by adapting to the individual needs and progress of students^[6].
Autonomous Vehicles: Self-driving cars utilize contextual intelligence to navigate safely by understanding and reacting to dynamic road conditions and traffic patterns^[7].
Human Resources: AI in recruitment processes can better match candidates to job roles by considering contextual factors such as company culture and team dynamics^[8].

Challenges and Future Directions

Despite its potential, developing contextual intelligence in AI presents several challenges:

Complexity of Contexts: Capturing and interpreting the vast array of contextual information accurately remains a technical hurdle^[9].
Data Privacy: The use of extensive contextual data raises concerns about privacy and data security^[10].
Ethical Considerations: Ensuring that AI systems make fair and unbiased decisions in various contexts is crucial for ethical AI deployment^[11]

Future research aims to enhance the robustness of contextual intelligence, improve its interpretability, and ensure its ethical application across different sectors.

References

^ Khanna, Tarun (2014-09-01). "Contextual Intelligence". Harvard Business Review. ISSN 0017-8012. Retrieved 2024-08-13.
^ Snidaro, Lauro; Garcia, Jesus; Llinas, James; Blasch, Erik (September 2019). "Recent Trends in Context Exploitation for Information Fusion and AI". AI Magazine. 40 (3): 14–27. doi:10.1609/aimag.v40i3.2864. ISSN 0738-4602.
^ Blasch, Erik; Cruise, Robert; Aved, Alexander; Majumder, Uttam; Rovito, Todd (December 2019). "Methods of AI for Multimodal Sensing and Action for Complex Situations". AI Magazine. 40 (4): 50–65. doi:10.1609/aimag.v40i4.4813. ISSN 0738-4602.
^ Schaefer, Kristin E.; Oh, Jean; Aksaray, Derya; Barber, Daniel (September 2019). "Integrating Context into Artificial Intelligence: Research from the Robotics Collaborative Technology Alliance". AI Magazine. 40 (3): 28–40. doi:10.1609/aimag.v40i3.2865. ISSN 0738-4602.
^ Khanna, Tarun (2015-03-25). "A Case for Contextual Intelligence". Management International Review. 55 (2): 181–190. doi:10.1007/s11575-015-0241-z. ISSN 0938-8249.
^ Turner, Roy M. (1998), "Context-mediated behavior for AI applications", Methodology and Tools in Knowledge-Based Systems, Lecture Notes in Computer Science, vol. 1415, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 538–545, doi:10.1007/3-540-64582-9_785, ISBN 978-3-540-64582-5, retrieved 2024-08-13
^ Brgulja, Nermin; Kusber, Rico; David, Klaus; Baumgarten, Matthias (December 2009). "Measuring the Probability of Correctness of Contextual Information in Context Aware Systems". 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing. IEEE. pp. 246–253. doi:10.1109/dasc.2009.114. ISBN 978-1-4244-5420-4.
^ Beaudouin, Valérie; Bloch, Isabelle; Bounie, David; Clémençon, Stéphan; d'Alché-Buc, Florence; Eagan, James; Maxwell, Winston; Mozharovskyi, Pavlo; Parekh, Jayneel (2020). "Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach". SSRN Electronic Journal. arXiv:2003.07703. doi:10.2139/ssrn.3559477. ISSN 1556-5068.
^ Hu, Bin (August 2006). "Contextual Computing". 2006 First International Symposium on Pervasive Computing and Applications. IEEE. pp. 10–11. doi:10.1109/spca.2006.297459. ISBN 1-4244-0325-1.
^ Hayes-Roth, Barbara (January 1995). "An architecture for adaptive intelligent systems". Artificial Intelligence. 72 (1–2): 329–365. doi:10.1016/0004-3702(94)00004-k. ISSN 0004-3702.
^ Kejriwal, Mayank (2021-12-16). "Essential Features in a Theory of Context for Enabling Artificial General Intelligence". Applied Sciences. 11 (24): 11991. doi:10.3390/app112411991. ISSN 2076-3417.

[1] Khanna, Tarun (2014-09-01). "Contextual Intelligence". Harvard Business Review. ISSN 0017-8012. Retrieved 2024-08-13.

[2] Snidaro, Lauro; Garcia, Jesus; Llinas, James; Blasch, Erik (September 2019). "Recent Trends in Context Exploitation for Information Fusion and AI". AI Magazine. 40 (3): 14–27. doi:10.1609/aimag.v40i3.2864. ISSN 0738-4602.

[3] Blasch, Erik; Cruise, Robert; Aved, Alexander; Majumder, Uttam; Rovito, Todd (December 2019). "Methods of AI for Multimodal Sensing and Action for Complex Situations". AI Magazine. 40 (4): 50–65. doi:10.1609/aimag.v40i4.4813. ISSN 0738-4602.

[4] Schaefer, Kristin E.; Oh, Jean; Aksaray, Derya; Barber, Daniel (September 2019). "Integrating Context into Artificial Intelligence: Research from the Robotics Collaborative Technology Alliance". AI Magazine. 40 (3): 28–40. doi:10.1609/aimag.v40i3.2865. ISSN 0738-4602.

[5] Khanna, Tarun (2015-03-25). "A Case for Contextual Intelligence". Management International Review. 55 (2): 181–190. doi:10.1007/s11575-015-0241-z. ISSN 0938-8249.

[6] Turner, Roy M. (1998), "Context-mediated behavior for AI applications", Methodology and Tools in Knowledge-Based Systems, Lecture Notes in Computer Science, vol. 1415, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 538–545, doi:10.1007/3-540-64582-9_785, ISBN 978-3-540-64582-5, retrieved 2024-08-13

[7] Brgulja, Nermin; Kusber, Rico; David, Klaus; Baumgarten, Matthias (December 2009). "Measuring the Probability of Correctness of Contextual Information in Context Aware Systems". 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing. IEEE. pp. 246–253. doi:10.1109/dasc.2009.114. ISBN 978-1-4244-5420-4.

[8] Beaudouin, Valérie; Bloch, Isabelle; Bounie, David; Clémençon, Stéphan; d'Alché-Buc, Florence; Eagan, James; Maxwell, Winston; Mozharovskyi, Pavlo; Parekh, Jayneel (2020). "Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach". SSRN Electronic Journal. arXiv:2003.07703. doi:10.2139/ssrn.3559477. ISSN 1556-5068.

[9] Hu, Bin (August 2006). "Contextual Computing". 2006 First International Symposium on Pervasive Computing and Applications. IEEE. pp. 10–11. doi:10.1109/spca.2006.297459. ISBN 1-4244-0325-1.

[10] Hayes-Roth, Barbara (January 1995). "An architecture for adaptive intelligent systems". Artificial Intelligence. 72 (1–2): 329–365. doi:10.1016/0004-3702(94)00004-k. ISSN 0004-3702.

[11] Kejriwal, Mayank (2021-12-16). "Essential Features in a Theory of Context for Enabling Artificial General Intelligence". Applied Sciences. 11 (24): 11991. doi:10.3390/app112411991. ISSN 2076-3417.

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