Why Complexity Science Has Relevance To Building AI Leadership Brain Trust?

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This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO’s to accelerate their duty of care to develop stronger skills and competencies in AI in order. This blog explores the linkages of complexity science and its relevance to AI.

9. Artificial Intelligence and Machine Learning LiteracyWhat is the relevance of complexity science to AI as a discipline?

One of the important attributes of complexity science is that it produces emergence. Emergence is of particular importance in relationship to innovation where one needs to be patient and appreciate iterative inquiry and persistency.

Complexity science has been a transformational element in the physical and biological sciences since the 1970’s. However, it has only been in the last decade that the relevance of complexity science to business has begun to be appreciated in full. One of the increasing developments underway bringing AI and complexity sciences together is the understanding that we live in a highly creative and unpredictable world where the system we live in must adapt to unforeseeable changes that represent new possibilities or new opportunities.

2.) Of these total resources trained in complexity sciences disciplines, how many also have a specialization in Artificial Intelligence?

Source: Tech Daily Report (techdailyreport.net)

 

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