Extract from European Commission Press Announcement on Sharing Europe’s Digital Future
Europe as a Leader in Trustworthy Artificial Intelligence
In its White Paper presented today, the [European] Commission envisages a framework for trustworthy Artificial Intelligence, based on excellence and trust. In partnership with the private and the public sector, the aim is to mobilize resources along the entire value chain and to create the right incentives to accelerate deployment of AI, including by smaller and medium-sized enterprises. This includes working with Member States and the research community, to attract and keep talent. As AI systems can be complex and bear significant risks in certain contexts, building trust is essential. Clear rules need to address high-risk AI systems without putting too much burden on less risky ones. Strict EU rules for consumer protection, to address unfair commercial practices and to protect personal data and privacy, continue to apply.
For high-risk cases, such as in health, policing, or transport, AI systems should be transparent, traceable and guarantee human oversight. Authorities should be able to test and certify the data used by algorithms as they check cosmetics, cars or toys. Unbiased data is needed to train high-risk systems to perform properly and to ensure respect of fundamental rights, in particular non-discrimination. While today, the use of facial recognition for remote biometric identification is generally prohibited and can only be used in exceptional, duly justified and proportionate cases, subject to safeguards and based of EU or national law, the Commission wants to launch a broad debate about which circumstances, if any, might justify such exceptions.
For lower-risk AI applications, the Commission envisages a voluntary labeling scheme if they apply higher standards.
All AI applications are welcome in the European market as long as they comply with EU rules.
[White Paper] On Artificial Intelligence – A European Approach to Excellence and Trust (PDF)
commission-white-paper-artificial-intelligence-feb2020_en
Additional Reading
Source: ComplexDiscovery