McSherry Bernadette
Adjunct Professor of Law and Foundation Director, Melbourne Social Equity Institute, University of Melbourne.
J Law Med. 2018 Jul;25(4):894-898.
Computational modelling is now being used to analyse posts on social media to predict the emergence of mental health conditions. While the aim is to develop tools for early detection and treatment of such conditions, computational modelling raises issues of user consent and privacy. The European Union has moved to regulate automated profiling of large databases and Australia has introduced a data breach notification scheme for cases where personal information held by an organisation is lost or subjected to unauthorised access or disclosure. There remains the question, however, of whether such regulation will be enough to prevent third-party access to social media and health-related datasets by those with less than benign motives. Opting out of using social media and schemes such as My Health Records may be one option to preserve privacy and avoid the use of personal data being used without consent, but that may be unattainable in a digital age.
现在，计算建模正被用于分析社交媒体上的帖子，以预测心理健康状况的出现。虽然其目的是开发用于早期检测和治疗此类状况的工具，但计算建模引发了用户同意和隐私问题。欧盟已采取行动对大型数据库的自动剖析进行监管，澳大利亚也针对组织持有的个人信息丢失、遭受未经授权的访问或披露的情况引入了数据泄露通知计划。然而，问题依然存在，即此类监管是否足以防止动机不纯者第三方获取社交媒体和与健康相关的数据集。选择不使用社交媒体和诸如“我的健康记录”之类的计划可能是保护隐私并避免个人数据在未经同意的情况下被使用的一种选择，但在数字时代这可能无法实现。
