This chapter develops a technology centered framework for evaluating the quality of legally mandated disclosures in contemporary information environments, proceeding from the premise that disclosure quality, understood as the extent to which disclosures enable informed decision making by consumers and investors, is central to the effectiveness and legitimacy of disclosure based regulation. It argues that traditional non technological assessment methods, including page length, disclosure volume, classic readability formulas, and the identification of legal jargon, are increasingly inadequate in light of advances in big data and artificial intelligence. The chapter first examines the conceptual and practical limitations of conventional approaches to disclosure quality, then introduces the data intelligence revolution, highlighting key developments in big data and artificial intelligence that have transformed how information can be processed, analyzed, and communicated. It next demonstrates how these technologies can enhance disclosure quality at both the macro level, through large scale comparative analysis by data driven intermediaries, and the micro level, through artificial intelligence tools that improve readability, conciseness, and linguistic accessibility. Finally, the chapter proposes a novel evaluative framework grounded in technological capacity, centered on big data readiness and artificial intelligence driven linguistic standards, offering a forward looking basis for assessing disclosure quality in the digital age.

In this chapter, new computational models will focus on whether environmental health texts are suitable for parents rather than the general public. Logistic regression models will identify linguistic features that are important contributors to the prediction of the suitability of environmental health materials for parents and caregivers of young children, who are more likely to be affected by environmental health risks such as water pollution, excessive sun exposure, and radiation in natural and indoor environments.