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hybrid intelligence

Hybrid intelligence refers to a system that combines elements of both artificial intelligence (AI) and human intelligence. It is designed to bridge the gap between the strengths and weaknesses of both types of intelligence, leveraging their complementary abilities to achieve superior results[2][5].

From a software perspective, a hybrid intelligent system employs a combination of methods and techniques from various artificial intelligence subfields. These can include neuro-symbolic systems, neuro-fuzzy systems, hybrid connectionist-symbolic models, fuzzy expert systems, connectionist expert systems, evolutionary neural networks, genetic fuzzy systems, rough fuzzy hybridization, and reinforcement learning with fuzzy, neural, or evolutionary methods as well as symbolic reasoning methods[1].

Hybrid intelligence is seen as the future of AI because it combines the strengths of human intelligence and artificial intelligence to produce more accurate and reliable results[3]. For instance, while AI excels at conducting specific, well-defined tasks based on a particular type of data and in a controlled environment, it often struggles with tasks that require a more nuanced understanding or interpretation of data. This is where human intelligence, with its ability to understand context, infer meaning, and make judgments based on incomplete or ambiguous information, can complement AI[5].

In practical applications, hybrid intelligence can be used to improve decision-making processes. For example, in a medical setting, AI can process patient data to make predictions about diseases, which can then be evaluated by a human physician. This allows the physician to benefit from the predictive power of AI while also applying their own expertise and judgment[7].

The development and implementation of hybrid intelligence systems require a combination of AI skills and domain expertise. This can involve training existing staff, hiring new experts, or outsourcing to consultants or teams with the necessary skills and knowledge[3].

In conclusion, hybrid intelligence represents a promising approach to leveraging the strengths of both human and artificial intelligence, potentially leading to more effective and efficient solutions in a wide range of fields[1][3][5][7].