The Robust Artificial Intelligence System Assurance (RAISA) workshop will focus on research, development and application of robust artificial intelligence (AI) and machine learning (ML) systems. Rather than studying robustness with respect to particular ML algorithms, our approach will be to explore robustness assurance at the system architecture level, during both development and deployment, and within the human-machine teaming context. While the research community is converging on robust solutions for individual AI models in specific scenarios, the problem of evaluating and assuring the robustness of an AI system across its entire life cycle is much more complex. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability.
翻译:强有力的人造情报系统保证(AISA)讲习班将侧重于强健的人工智能和机器学习系统的研究、开发和应用,我们的方法不是研究特定ML算法的稳健性,而是在系统架构一级,在开发和部署期间,以及在人力资源团队框架内,探索稳健性保证。虽然研究界正在就具体情景中单个AI模型的稳健解决方案达成共识,但评估和确保AI系统在整个生命周期的稳健性的问题则更为复杂。此外,由于采用AI系统的业务环境需要考虑稳健性及其与公平、隐私和解释性原则的关系。