The General Data Protection Regulation (GDPR) establishes protections for the privacy and security of personal data (Personal Data) about individuals in the European Union (EU) single market countries, and potentially affects the clinical and other scientific research activities of academic medical centers and other research organizations in the United States.

This On the Subject includes frequently asked questions that discuss the extent to which United States research organizations must comply with GDPR when conducting research. Future coverage will address the impact of GDPR on other aspects of the United States health care sector.

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Enforceable in all EU member states on 25 May 2018, the General Data Privacy Regulation will require action by organisations both inside and outside the European Union to ensure compliance with this far-reaching privacy legal framework. Compliance is even more urgent given that the GDPR provides for large penalties in cases of infringement. As some entities are not yet aware of the extent to which GDPR may be applicable to them, the GDPR expressly applies to organisations established outside the European Union that offer paid or free goods or services to EU data subjects or monitor EU data subjects’ behaviour.

Within this article, we review steps for a risk based, prioritization approach to GDPR compliance and how companies can adjust their policies and practices on a pragmatic basis to help ensure compliance.

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The validity of Model Clauses for EU personal data transfer to the United States is now in real doubt as a result of a new Irish High Court judgment stating that there are “well founded grounds” to find the Model Clauses invalid. The issue of Model Clauses as a legitimate data transfer mechanism will now be adjudicated by the European Court of Justice (ECJ), the same court that previously overturned the Safe Harbor arrangement. EU and US companies will need to consider various strategies in anticipation of this decision.

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The US Department of Transportation’s National Highway Traffic Safety Administration recently released A Vision for Safety 2.0, an update to its prior guidance on automated driving systems. The new guidance adopts a voluntary, flexible approach to regulation of automated driving systems and clarifies that it alone, and not the states, is responsible for regulating the safety design and performance aspects of such systems.

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On 6 August 2017, the UK government released ‘The Key Principles of Vehicle Cyber Security for Connected and Automated Vehicles’, guidance aimed at ensuring minimum cybersecurity protections for consumers in the manufacture and operation of connected and automated vehicles.

Connected and automated vehicles fall into the category of so-called ‘smart cars’. Connected vehicles have gained, and will continue to gain, adoption in the market and, indeed, are expected to make up more than half of new vehicles by 2020. Such cars have the ability through the use of various technologies to communicate with the driver, other cars, application providers, traffic infrastructure and the Cloud. Automated vehicles, also known as autonomous vehicles, include self-driving features that allow the vehicle to control key functions–like observing the vehicle’s environment, steering, acceleration, parking, and lane changes–that traditionally have been performed by a human driver. Consumers in certain markets have been able to purchase vehicles with certain autonomous driving features for the past few years, and vehicle manufacturers have announced plans to enable vehicles to be fully self-driving under certain conditions, in the near future.

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