Integrating AI, Deep Learning, and Robotics: Transforming Healthcare, Cyber security, and Food Systems for a Sustainable Future

Abstract

AI, deep learning and robotics are rising as significant shifts across the healthcare, information security, the food industry and supply chain. These technologies facilitate automation, increase effectiveness and effectiveness in decision making process, and therefore tackle global issues such as food insecurity, cyber-crime, and management of natural resources. AI application in farming and food storage increases efficiency and decreases spoilage; AI has a strong aspect of security as it is capable of identifying and analyzing threats within a short span of time. In the more general scope of health care, the uses include diagnostics, endoscopic and robotic surgeries, drug discovery, etc., to help the patients. However, it is crucial that problems like algorithm and data prejudice, privacy, employment losses, restrictions, and rules of ethics should be solving before implementing them. It is significant for the policymakers, industry giant and the researchers to come together to reap the benefits in order to avoid or reduce the risks that are associated with poor implementation of the policy. IT the responsible approach to embedding artificial intelligence allows industries to progress deeply, protect the natural environment, and affect economic development, thus shaping a more liberal, safe, and wise future.