This piece will primarily focus on data context that ties together traditional systems of record. An equally important and overlapping opportunity is also capturing an organization's decisions and workflow logic so truly multipurpose agents can be built that are properly grounded in all of an organization's data and decisioning context.
作者提出了一个重要的延伸思考：上下文层不仅需要整合传统系统数据，还需要捕捉组织决策和工作流逻辑。这暗示了未来数据代理的发展方向是从单一功能向多功能、全面理解的进化。
Zhao, W. J., Coady, A., & Bhatia, S. (2021). Computational mechanisms for context-based behavioral interventions: A large-scale analysis. PsyArXiv. https://doi.org/10.31234/osf.io/8cyad
Fareri, Dominic S., Joanne Stasiak, and Peter Sokol-Hessner. ‘Choosing for Another: Social Context Changes Dissociable Computational Mechanisms of Risky Decision-Making’, 21 September 2020. https://doi.org/10.31234/osf.io/dr42a.
It’s important to note that where the GDPR applies, intended use factors into whether or not consent is required as even statistical data can fall under “profiling” or “monitoring” depending on how the data is being used.
Ting, C., Palminteri, S., Lebreton, M., & Engelmann, J. B. (2020, March 25). The elusive effects of incidental anxiety on reinforcement-learning. https://doi.org/10.31234/osf.io/7d4tc MLA