It has probably happened to all of us that while writing a text or giving a prompt to Chat GPT, our text is misinterpreted or just autocorrects on its own. So it is not possible to think that automated weapon systems, drones or detection systems will always be able to perform their designated functions without causing collateral damage. Something as complex as warfare, which has been difficult for human beings to comprehend despite living through centuries of it.
The AI Paradox:
The dual use dilemma:
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Multiple states leading the AI global race like China and the US are working towards enhancing their civil military fusion capabilities. For China it is a top priority in their NGAIDP and their 14th Five Year plan also highlights the importance of civil military tech deployment in its weapon systems upgrade. Similarly, the US is strengthening the ties between its “iron triangle ”; which include departments like the Department of defense (DOD), the industrial constituency faction and the Congress. The US aims to close ties with private AI sector through harnessing market driven innovation with government funding that will further facilitate civil military fusion e.g. Project Maven . To state that this Civil military technological overlap creates a major predicament for cybersecurity would be an understatement; this convergence requires consistent monitoring and nuanced approaches from all stakeholders involved.
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Striving for Ethical governance: EU AI Act , the Personal Information Protection Law (PIPL ) of China etc. Despite such initiatives the leading states in AI need to come together to build a comprehensive framework for global governance of AI.
Future prospects: Sources: https://www.ebsco.com/research-starters/political-science/iron-triangle-us-politics . https://ploughshares.ca/the-dilemma-of-dual-use-ai/ .
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