Building Trust in AI Means Building Trust in Data

A 2023 U.S. executive order on AI emphasizes safety, security, privacy, equity, innovation, and trust, prompting discussion about the relationship between trustworthy data and reliable AI systems. The piece presents AI as a pyramid built on data, skilled people, and data-engineering capabilities, arguing that stronger foundations are necessary for effective outcomes. It recommends continuous risk-management frameworks to identify, assess, mitigate, and monitor issues such as bias in evolving AI models, with data streaming enabling real-time and historical oversight through immutable event logs. It also advocates shifting organizational focus from data ownership toward data stewardship, encouraging broader but secure access to contextual, current, and traceable data. By maintaining immutable records of data changes and usage, streaming architectures can support auditability, provenance, lineage, and faster detection of problems such as biased chatbot behavior.

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