Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities: Artificial intelligence AI Cognitive computing Expert systems Machine learning Research agenda

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities: Artificial intelligence AI Cognitive computing Expert systems Machine learning Research agenda

Author: Dani Wade

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Artificial Intelligence (AI) is a concept that has been part of public discourse for decades, often depicted within science fiction films or debates on how intelligent machines will take over the world relegating the human race to a mundane servile existence in supporting the new AI order. Whilst this picture is a somewhat caricature-like depiction of AI, the reality is that artificial intelligence has arrived in the present and many of us regularly interact with the technology in our daily lives. AI technology is no longer the realm of futurologists but an integral component of the business model of many organisations and a key strategic element in the plans for many sectors of business, medicine and governments on a global scale. This transformational impact from AI has led to significant academic interest with recent studies researching the impacts and consequences of the technology rather than the perfor- mance implications of AI, which seems to have been the key research domain for a number of years.

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