creating methods to solve the "black box" issue and make AI models easier to analyze and comprehend.
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Explainable AI (XAI)
investigating defense strategies for AI systems against hostile assaults and creating reliable models.
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Adversarial Machine Learning
investigating the use of AI in drug development, customized medicine, and medical image analysis.
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AI for Healthcare
creating AI models to anticipate climate change, respond to natural disasters, and provide sustainable energy.
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AI for Climate Change
looking at techniques for AI system bias reduction and detection.
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AI Bias and Fairness
researching the moral ramifications of artificial intelligence and creating guidelines for ethical AI development.
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AI Governance and Regulation