Cognitive AI

The Cognative AI strategy is still being more formerally defined, and is likely to be one of the more significant projects that is better undertaken once the Webizen3.0 systems are released. Current work is being undertaken via CognitiveAI-WIP notes.

Cognitive artificial intelligence (AI) is a type of AI that is designed to mimic the cognitive abilities of humans, such as learning, problem-solving, decision-making, and natural language processing. It is based on the idea that the human brain is a computational system that can be emulated by a machine, and it seeks to build AI systems that can perform tasks that require human-like cognition.

Cognitive AI technologies include machine learning, natural language processing, and machine vision, which allow machines to learn from data, understand and generate human language, and perceive and understand the visual world in a way that is similar to humans. These technologies can be applied in a variety of fields, including healthcare, finance, education, and customer service, to assist humans in making decisions, providing personalized recommendations, and completing tasks more efficiently.

However, cognitive AI also raises ethical and societal concerns, such as the potential for automation to displace human workers, the need for transparency and explainability in AI decision-making, and the potential for AI to perpetuate and amplify biases present in the data used to train it. As a result, the development and use of cognitive AI requires careful consideration of these issues and the responsible design and deployment of these technologies.

UseCases

Some of the initial use-cases for CogAI will include the TheValuesProject and in-turn therein, the ability to process a multitude of ValuesCredentials and in-turn provide support for Webizen Owners to evaluate whether and/or how an activity may be compliant, compatible and/or promotional of those values or whether and how there may be some sort of conflict.

Requirements

There must be an open-standards way to perform these sorts of procedural knowledge representation tasks. This will in-turn support productivity and reduce and/or clarify risks associated with behaviours and/or activities.

The Area has an array of very complex requirements; however fundamentally, the Web Science related requirement, is to figure out how to form a #HumanCentric Approach; so that, whilst the tools may offer suggestions and/or support, it is fundamentally still only humans that are responsible for making decisions and not Active Artificial Agents ( #AI )

W3C Cognative AI CG

Work to produce an open-standard for Cognative AI is being undertaken now in the W3C CogAI CG

"The real world is frustratingly uncertain, incomplete and inconsistent. This is challenging for traditional approaches to information systems, and a new paradigm is needed that combines symbolic and statistical techniques, building upon decades of work in the cognitive sciences, and over 500 million years of natural selection. This will allow us to create cognitive agents that learn and reason based upon prior knowledge and past experience, and which can satisfy the need for, transparency in decision making, and continuous learning for adapting to ever changing needs. This community group will address opportunities for cognitive agents using graphs, statistics, rules and graph algorithms, starting with an amalgam of RDF and Property Graphs, together with Web architecture for cognitive databases."

Source: W3C CogAI CG

Note also the GitHub link for the CogAI.