Pooling Mental Health Data with Chatbots

Title

Pooling Mental Health Data with Chatbots

Files

Description

CHAPTER ABSTRACT: Drawing upon the GKC framework, this chapter presents an ethnographic study of Woebot – a therapy chatbot designed to administer a form of cognitive behavioral therapy (“CBT”). Section 3.1 explains the methodology of this case study. Section 3.2 describes the background contexts that relate to anxiety as a public health problem. These include the nature of anxiety and historical approaches to diagnosing and treating it, the ascendency of e-Mental Health therapy provided through apps, and relevant laws and regulations. Section 3.3 describes how Woebot was developed and what goals its designers pursued. Section 3.4 describes the kinds of information that users share with Woebot. Section 3.5 describes how the designers of the system seek to manage this information in a way that benefits users without disrupting their privacy.

ISBN

9781108485142 (hb.)

Publication Date

2021

Publisher

Cambridge University Press

City

New York, NY

Keywords

GKC framework, Woebot, CBT, Cognitive behavioral therapy, e-Mental Health therapy, Privacy, Secrecy-Law and legislation, Data protection-Law and legislation, Information networks-Law and legislation, Information commons, Knowledge management.

Disciplines

Health Law and Policy | Law | Privacy Law

Comments

Sanfilippo, Madelyn Rose, Brett M. Frischmann, and Katherine J. Strandburg, eds. Governing Privacy in Knowledge Commons. Cambridge University Press (2021).

BOOK ABSTRACT

Governing Privacy in Knowledge Commons explores how privacy impacts knowledge production, community formation, and collaborative governance in diverse contexts, ranging from academia and IoT, to social media and mental health. Using nine new case studies and a meta-analysis of previous knowledge commons literature, the book integrates the Governing Knowledge Commons framework with Helen Nissenbaum's Contextual Integrity framework. The multidisciplinary case studies show that personal information is often a key component of the resources created by knowledge commons. Moreover, even when it is not the focus of the commons, personal information governance may require community participation and boundaries. Taken together, the chapters illustrate the importance of exit and voice in constructing and sustaining knowledge commons through appropriate personal information flows. They also shed light on the shortcomings of current notice-and-consent style regulation of social media platforms. This title is also available as Open Access on Cambridge Core.

  • Expands and clarifies the Governing Knowledge Commons (GKC) framework to address privacy, legitimacy, exit, and voice
  • Introduces the GKC theory using accessible explanations and examples
  • Explores the parallels between the GKC framework and Contextual Integrity (CI) framework

Full bibiliographic details available HERE.

Copies available in the Jerome Hall Law Library, K 3263 .S25 2021

Additionally, an Open Access copy is avialble on the Cambridge Core site, HERE.

Pooling Mental Health Data with Chatbots

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