AI Deployment

AI deployment research focuses on ensuring the safe, efficient, and ethical integration of artificial intelligence systems into real-world applications. Current efforts concentrate on optimizing model architectures for resource-constrained environments (like mobile devices and edge servers), developing robust safety protocols to mitigate risks such as bias and adversarial attacks, and creating explainable AI (XAI) methods to enhance transparency and user trust. This field is crucial for realizing the benefits of AI while addressing critical concerns regarding performance, security, and societal impact across diverse sectors, from healthcare to elections.