Artificial Intelligence in Healthcare, Cybersecurity, Machine Learning, and Food Processing: A Cross-Industry Review

Abstract

Artificial intelligence (AI) is changing some of the major industries such as healthcare, cybersecurity, machine learning and food processing at a very high pace. In healthcare, AI promotes diagnostics, treatment planning and P4, making it even more accurate and efficient. Within the field of cybersecurity, artificial intelligence allows dynamic defense systems and predications in detecting and preventing threats, but with a possibility to be misused. Machine learning is what gives AI the power of learning, inculcating changes and making predictions across fields. AI also helps in the food industry because there is enhanced quality control, optimization of the supply chains, and safety management. Even though these areas have different use cases, they have common issues: dependence on high-quality data, ethical issues, explain ability, and employee adaptation. AI convergence and development place a strong emphasis on the need to work across disciplines, ethical development and governance. The future of AI is a quest to integrate it, not only between different technologies, industries, but also with the role of human beings, which revolutionizes the way society innovates, protects itself, and develops. This paper discusses this overlapping of forces and how we all have a duty and responsibility in guiding this potential of AI.