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An incomplete History and Society: Understanding Human-Machine innovation


Human society and history are inherently incomplete. Because, no record can capture every detail or perspective, and no snapshot of a society can fully comprehend its complexity and diversity. Nevertheless, for some reason, humans have the capability to innovate from incompleteness. Somehow, drawing on a wide range of experiences and knowledge to generate new ideas - based on incomplete information or ambiguous situations - humanity has managed to build societies, technologies, goods, and services that have made us grow and progress rapidly and without seemingly constrains.


However, with the rise and buzz of artificial intelligence (AI), we are beginning to question whether machines can also innovate from incompleteness. AI algorithms and systems are designed to process and analyze large amounts of data, identify patterns, and make predictions or recommendations based on that data.


But can they truly replicate the creative and adaptive nature of human innovation?


The short answer is that AI has the potential to innovate from incompleteness to a certain extent. AI is limited by the quality and quantity of the data it is given, and it is unable to fully understand the context and nuances of human experience – however, this is probably just for now. This means that, today, AI can only innovate within the parameters set by its programming and data inputs. In fact, the machine is unlikely to have the same level of creativity and adaptability as humans.


However, that doesn’t mean that a transformation led by its speedy evolution, won’t ever reach the human ‘blessing’ of ingenuity. For example, some models have already started to lie and omit. Why? No one can tell…


That being said, AI can still make significant contributions to innovation.


For example, Smart Systems can connect the dots to completeness, on what we leave undone. At the same time, this can lead to new insights and ideas that can be further explored and developed by both.


But, in the world of technology and innovation, the promise to revolutionize industries from healthcare to finance often forgets a fundamental element of advancement. The magic word that is continuously enhancing our models; that is, learning. As with any emerging technology, it is important to understand that the limitations and differences between AI innovation and human innovation will be cleared out by learning.


Understand that education is at the core of all the freedoms that an AI-driven transformation represents, is critical. Now, most decisionmakers are waking up to an alarm that has been sounding for decades, why not stand up for quality education altogether.


The key differences that AI systems and humans have, like for example, the capacity to process and analyze data, identify patterns, and make predictions or recommendations based on that data, is a great opportunity to eliminate incompleteness and move you forward – as one. This means that AI innovation is by excellence what we lack to improve our chances of subsistence. Because of the quality and quantity of the data it is given, and the opportunity to drive our combination of creativity, critical thinking, experience, and knowledge.


Ultimately, while humans are able to make connections and generate new ideas based on incomplete information or ambiguous situations -reflecting on their own experiences and adjusting their behavior accordingly - AI will most probably be able to innovate from incompleteness within the parameters of its programming and data inputs, it is unlikely to have the same level of creativity and adaptability as humans.


In other words, AI has already demonstrated its potential. Why not educate yourself on how it can complete your unfinished sentences?

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