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Responsible Generative AI Tutorial

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Artificial Intelligence (AI) based solutions are increasingly deployed in high-stakes domains such as healthcare, lending, hiring, criminal justice, and education, thereby transforming the way these industries operate and impacting individuals, businesses, and society as a whole. Consequently, it is critical to ensure that the underlying AI models are making accurate predictions, are robust to shifts in the data, are not relying on spurious features, are not unduly discriminating against minority groups, and more broadly, are developed and deployed following responsible AI guidelines. 基于人工智能 （AI） 的解决方案越来越多地部署在医疗保健、贷款、招聘、刑事司法和教育等高风险领域，从而改变了这些行业的运营方式，并影响个人、企业和整个社会。因此，至关重要的是要确保底层人工智能模型能够做出准确的预测，对数据的变化具有鲁棒性，不依赖虚假特征，不过度歧视少数群体，更广泛地说，按照负责任的人工智能准则进行开发和部署。 The rapid development and deployment of generative AI models and applications has increased the urgency of addressing above issues. Generative AI refers to deep learning models and systems that create new digital text, images, audio, video, c

Responsible Generative AI Tutorial Search this site Embedded Files Skip to main content Skip to navigation Generative AI meets Responsible AI (Tutorial) Overview Artificial Intelligence (AI) based solutions are increasingly deployed in high-stakes domains such as healthcare, lending, hiring, criminal justice, and education, thereby transforming the way these industries operate and impacting individuals, businesses, and society as a whole. Consequently, it is critical to ensure that the underlying AI models are making accurate predictions, are robust to shifts in the data, are not relying on sp

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