Revolutionizing Healthcare, Cyber security, and Food Systems: The Power of AI, Deep Learning, and Robotics for a Sustainable Future

Authors

  • Bimalendu Pendy Independent Researcher, 39900 Blacow Road, Apt #58, Fremont, CA, 94538 Author

DOI:

https://doi.org/10.70445/gjeac.1.2.2025.73-94

Keywords:

AI, automation, bias, cyber security, data privacy, deep learning, ethics, healthcare

Abstract

AI systems along with deep learning and robotics technologies help companies innovate across healthcare and cyber security while developing better food production methods and fighting against global environmental issues. These technologies show great potential in saving time and resources plus making better decisions. Healthcare adapts faster by using AI technology that helps doctors identify illnesses, supports surgery robots, and predicts diseases. AI technologies now defend our digital systems better than ever by discovering and reacting to new forms of cyber dangers. Both AI automation systems make agriculture more productive while boosting environmental protection throughout food supply chains. The benefits AI brings come with important challenges and moral concerns. Our focus needs to remain on AI model fairness to protect data privacy and preserve jobs to make sure AI systems work correctly. The General Data Protection Regulation (GDPR) and privacy-enhancing AI methods must be enforced to protect personal data from security threats. The future outcome of AI technology depends on its successful present-day use to create sustainable benefits that everyone can access fairly. Our present decisions set the course for AI development which determines its effects on industries, economies and society until the next generations.

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Published

2025-02-28

How to Cite

1.
Pendy B. Revolutionizing Healthcare, Cyber security, and Food Systems: The Power of AI, Deep Learning, and Robotics for a Sustainable Future. Glob. J. Emerg. AI Comput. [Internet]. 2025 Feb. 28 [cited 2025 Mar. 13];1(2):73-94. Available from: https://gjeac.com/index.php/GJEAIC/article/view/12