Robotics and Artificial Intelligence (AI)

Robotics and Artificial Intelligence (AI) The swift progress of technology has marked the onset of a period where artificial intelligence (AI) is reshaping our lifestyles and professional environments. AI emulates human intelligence in machines and is becoming increasingly prominent across multiple facets of society, spanning fields like healthcare, transportation, education, and entertainment.

AI has revolutionized industries by automating repetitive tasks, reducing human error, and enhancing productivity. In manufacturing, for instance, robots equipped with AI can work tirelessly, 24/7, increasing efficiency and output. In healthcare, AI aids in diagnostics, offering quicker and more accurate results.

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AI is at the core of self-driving and autonomous vehicles, promising safer and more efficient transportation (Gupta et al., 2021). With the potential to reduce accidents caused by human error, AI could reshape the future of urban mobility. AI-driven systems personalize education, adapting content and pacing to individual student needs. Intelligent tutoring systems provide students with a tailored learning experience, which can improve academic outcomes.

While artificial intelligence (AI) in robotics offers numerous benefits, there are also negative aspects and potential drawbacks that need to be considered. One of the most significant concerns is the potential for AI-driven robots to displace human workers in various industries. Automation can lead to job loss, particularly in roles involving repetitive, manual tasks. This can contribute to unemployment and economic disparities. AI robots can be vulnerable to hacking and cyberattacks (Mosteanu, 2020). If not adequately secured, these robots can be used as tools for malicious purposes, posing security threats to individuals and organizations.

Addressing the concerns raised by AI in robotics is crucial to ensure that the benefits of this technology are maximized while minimizing its negative impacts. This can be achieved by Establishing clear ethical guidelines for AI and robotics. These frameworks should cover issues such as bias mitigation, transparency, fairness, and the responsible use of AI. Ethical AI principles should involve input from diverse stakeholders, including ethicists, technologists, and the public (McLennan et al., 2022). Society should prioritize AI education and digital literacy to empower individuals to understand and critically evaluate AI technologies. This includes raising awareness about AI's potential benefits and risks and promoting responsible AI usage.

The future of AI in society and robotics is highly promising and likely to be transformative, as AI will revolutionize healthcare, assisting in diagnosis, treatment, and patient care. Surgical robots will become more advanced, making minimally invasive procedures more accessible. AI-driven robotics will be used in precision agriculture, enabling more efficient and sustainable farming practices. Robots will assist in planting, harvesting, and monitoring crops.

References Gupta, A., Anpalagan, A., Guan, L., & Khwaja, A. S. (2021). Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues.

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McLennan, S., Fiske, A., Tigard, D., Müller, R., Haddadin, S., & Buyx, A. (2022). Embedded ethics: a proposal for integrating ethics into the development of medical AI. BMC Medical Ethics, 23(1), 6.

Mosteanu, N. R. (2020). Artificial Intelligence and Cyber Security–A Shield against Cyberattack as a Risk Business Management Tool–Case of European Countries. QualityAccess to Success, 21(175).