Intelligent CIO North America Issue 47 | Page 83

FINAL WORD
The solution may lie in getting AI to make itself more efficient . AI algorithms can be designed to optimise their own energy consumption . This involves techniques such as pruning , quantisation and using efficient neural network architectures to reduce the computational resources needed for training and inference . AI can also help reduce the energy use and footprint of data center by optimising cooling and power usage .
While AI is already being used in the renewables sector to accelerate research , there are also hopes that AI could play a crucial role in advancing research into cold fusion . This – currently a speculative concept – would be an easy and safe form of nuclear fusion at room temperature . AI could help model complex plasma dynamics , optimise the design of fusion reactors and predict the outcomes of fusion experiments .
2 . Security issues
AI presents several new security issues , from LLM interference to the use of AI for phishing attacks . AI is trained on LLMs , many of which already suffer from bias and misinformation . For example , GenAI images of ‘ a CEO ’ might produce solely images of male CEOs due to more male photos in its training database . There are also concerns that bad actors could deliberately poison LLMs : intentionally manipulating the training data or inputs to produce biased , incorrect or harmful outputs .
GenAI chatbots are also being used in sophisticated phishing attacks . It can rapidly collect and curate sensitive information and use it to craft targeted , convincing messages . Its ability to clone voices is also being used for vishing or voice phishing attacks .
The journey ahead will require collaboration between industry , government and society .
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