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.

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

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

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.

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

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.