Data Privacy

On 11 November 2020, the European Data Protection Board (“EDPB”) issued two draft recommendations relating to the rules on how organizations may lawfully transfer personal data from the EU to countries outside the EU (“third countries”).  These draft recommendations, which are non-final and open for public consultation until 30 November 2020, follow the EU Court of Justice (“CJEU”) decision in Case C-311/18 (“Schrems II”).  (For a more in-depth summary of the CJEU decision, please see our blog post here and our audiocast here. The EDPB also published on 24 July 2020 FAQs on the Schrems II decision here).

The two recommendations adopted by the EDPB are:

Continue Reading EDPB adopts recommendations on international data transfers following Schrems II decision

The Institute of Global Health Innovation at Imperial College London has published a report called “NHS data: Maximising its impact on the health and wealth of the United Kingdom” (the “Report”).[1] The Report begins from the premise that the knowledge gleaned from the combination of patient health data and “big data” technologies has incredible potential for “transformative …impact” on patient health, scientific advancement and the UK’s economy. However, the Report argues that the current efforts of scientists, medical professionals and the UK government to develop the UK’s capacities are not sufficiently coordinated to maximise that potential. To address this, the Report presents a single, high-level, strategic framework for the collection, governance and use of patient health data in the NHS.
Continue Reading New Report Recommends Putting Public Engagement at the Heart of NHS Health Data Strategy

On July 25, 2019, the UK’s Information Commissioner’s Office (“ICO”) published a blog on the trade-offs between different data protection principles when using Artificial Intelligence (“AI”).  The ICO recognizes that AI systems must comply with several data protection principles and requirements, which at times may pull organizations in different directions.  The blog identifies notable trade-offs that may arise, provides some practical tips for resolving these trade-offs, and offers worked examples on visualizing and mathematically minimizing trade-offs.

The ICO invites organizations with experience of considering these complex issues to provide their views.  This recent blog post on trade-offs is part of its on-going Call for Input on developing a new framework for auditing AI.  See also our earlier blog on the ICO’s call for input on bias and discrimination in AI systems here.Continue Reading ICO publishes blog post on AI and trade-offs between data protection principles

On June 3, 2019, the UK Information Commissioner’s Office (“ICO”), released an Interim Report on a collaboration project with The Alan Turing Institute (“Institute”) called “Project ExplAIn.” The purpose of this project, according to the ICO, is to develop “practical guidance” for organisations on complying with UK data protection law when using artificial intelligence (“AI”) decision-making systems; in particular, to explain the impact AI decisions may have on individuals. This Interim Report may be of particular relevance to organizations considering how to meet transparency obligations when deploying AI systems that make automated decisions that fall within the scope of Article 22 of the GDPR.
Continue Reading ICO’s Interim Report on Explaining AI