Nicole Porter supports the work of our Aviation sector team and has recently written a think piece exploring the potential use of AI in noise research, particularly in the context of aircraft noise, demystifying AI for those unfamiliar with it.
Headline points include:-
• Understanding AI: AI allows machines to perform tasks requiring human intelligence, such as understanding language, recognizing images, making decisions, or solving problems. It is centred on machine learning, where computer programs learn and adapt using provided information.
• Applications in Research: AI can assist in literature reviews, data collection and analysis, evaluation and prediction modelling, communication, ethical practices, and project management. However, it requires human oversight to avoid biases and ensure accuracy.
• Potential and Limitations: AI can enhance productivity and efficiency but poses risks related to data security, sustainability, and the accuracy of AI-generated insights. Substantial computational power is needed, leading to increased energy consumption and environmental impact.
• Conclusion: AI has the potential to transform noise research by making it more efficient and accurate. However, it should be used alongside human judgment, and organizations should consider recruiting AI specialists and developing an AI strategy.
Read the full paper here and join the discussion!
