CHALLENGES OF ARTIFICIAL INTELLIGENCE

Abstract

The article deals with the challenges of artificial intelligence in the modern world, where various AI applications (automatic translation systems, smart assistants, search engines, smart chatbots) accompany a person in various tasks every day. The value of business related to artificial intelligence is estimated at trillions of dollars. More than a third of modern companies use artificial intelligence developments in their work, and the number of such companies is constantly increasing. The leadership in the development of artificial intelligence belongs to large corporations such as Microsoft, Google, Amazon, and others, which invest billions of dollars in research annually, and for which an extra 2% accuracy of algorithms is easily converted into additional billions of profit. Will the rapid development of AI technologies make a bunch of professions redundant and lead to mass unemployment and increased social tension? The facial recognition technology we use to unlock our smartphones is also used for law enforcement surveillance, airport passenger screening, and employment and housing decisions. It is shown what role deep learning in face recognition played in the loss of privacy by Internet users when collecting data for training datasets. The current implementation of these technologies involves significant racial bias, particularly against non-whites. Even if accurate, facial recognition empowers a law enforcement system with a long history of targeting racists and antiactivists and could exacerbate existing inequalities. Despite widespread adoption among the dominant biometrics (fingerprints, iris, palm, voice, and face), facial recognition is the least accurate and has privacy concerns, and is even banned for use by police and local authorities in several US cities. Research has been conducted on whether modern AI applications are able to replace people, in particular, teachers of history, language, literature, and programming in Ukrainian education.