Abstract

AI has been called a disruptive force across modern technology, cutting across healthcare, management, manufacturing, and creative industries. AI applications include diagnosis and treatment of diseases, automation and quality guarantee at production lines, optimization of network traffic in the telecommunications segment, and the enrichment of artistic creation. Recently, AI has found an increasing integration into power electronics, software engineering, and the oil and gas industry, pumping up efficiency and reducing operational costs. Looking ahead to the future, AI offers enormous potential for improvement in predictive analytics and personalized medicine in health care, the infrastructure of smart cities, and the job market. These also raise significant ethical, social, and technological concerns. Discussing bias, ensuring security, and improving data quality goes hand in hand with the responsible development of AI. Effective policy and regulatory frameworks from all levels and collaboration with international efforts are needed to unlock AI's potential and mitigate its risks, opening the path toward a positive future with AI.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.