Top 15 Key Challenges Of Artificial Intelligence – Ethical, Legal, And Socio-Economic Perspectives

Ethics in AI refers to a topic of discussion that comprehensively involves aspects such as privacy infringement, reinforcement of prejudice, and social responsibilities.

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Top 15 Key Challenges Of Artificial Intelligence – Ethical, Legal, And Socio-Economic Perspectives

Ethics in AI refers to a topic of discussion that comprehensively involves aspects such as privacy infringement, reinforcement of prejudice, and social responsibilities.

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It suggests that when creating machine learning algorithms many biases that are already apparent in the training process are reinvented and magnified.

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Applying artificial intelligence to manufacturing and service delivery to accurately implement the new changes that strive to improve automation.

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Security of data and data privacy are critical ever increasing concerns in AI as the large volume of data is a key to the functioning and learning of AI systems.

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It equally poses a number of legal issues mainly on liability, ownership of digital assets, and regulating consumption of virtual projected materials.

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It is important to note that trust is a factor that plays an important role in acceptance of AI systems, which we need to address.

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