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Biases are commonly considered one of the most detrimental effects of artificial intelligence (AI) use. The EU is therefore committed to reducing their incidence as much as possible. However, the existence of biases pre-dates the creation of AI tools. All human societies are biased – AI only reproduces what we are. Therefore, opposing this technology for this reason would simply hide discrimination and not prevent it. It is up to human supervision to use all available means – which are many – to ...

With a particular focus on artificial intelligence (AI), this study identifies and examines policy options for the EU's data governance framework that align with a data justice perspective. A data justice approach is one that centres on equity, recognition and representation of plural interests, and the creation and preservation of public goods as its principal goals. The analysis offers both an assessment of the EU data governance strategy overall and specific policy options for the AI act, the ...

Migration to the European Union from third countries has been substantial over the past few decades, as Europe has historically been considered a continent of relative economic prosperity and political stability. While many foreign-born individuals arrive in the European Union (EU) to work, pursue studies or join family members, the EU also receives a large number of asylum-seekers and refugees, not least in the context of the war in Ukraine since February 2022. As host societies, EU Member States ...

The artificial intelligence act envisages setting up coordinated AI 'regulatory sandboxes' to foster innovation in artificial intelligence (AI) across the EU. A regulatory sandbox is a tool allowing businesses to explore and experiment with new and innovative products, services or businesses under a regulator's supervision. It provides innovators with incentives to test their innovations in a controlled environment, allows regulators to better understand the technology, and fosters consumer choice ...

In recent years, the use of artificial intelligence (AI) in medicine and healthcare has been praised for the great promise it offers, but has also been at the centre of heated controversy. This study offers an overview of how AI can benefit future healthcare, in particular increasing the efficiency of clinicians, improving medical diagnosis and treatment, and optimising the allocation of human and technical resources. The report identifies and clarifies the main clinical, social and ethical risks ...

The Monthly Highlights publication provides an overview, at a glance, of the on-going work of the policy departments, including a selection of the latest and forthcoming publications, and a list of future events.

This study identifies and examines sources of regulatory divergence within the AI act regarding the obligations and limitations upon public and private sector actors when using certain AI systems. A reflection upon possible impacts and consequences is provided, and a range of policy options is suggested for the European Parliament that could respond to the identified sources of divergence. The study is specifically focused on three AI application areas: manipulative AI, social scoring and biometric ...

This study focuses on options for regulating the use of AI enabled and algorithmic management systems in the world of work under EU law. The first part describes how these technologies are already being deployed, particularly in recruitment, staff appraisal, task distribution and disciplinary procedures. It discusses some near-term potential development prospects and presents an impact assessment, highlighting some of these technologies' most significant implications. The second part addresses the ...

This At a glance note summarises the study on Artificial Intelligence and the fisheries sector

This study reviews current artificial intelligence (AI) systems legislation, the AI techniques definition proposed by the AI Act and main applications of AI methods in the fisheries sector with special focus on applications to enhance traceability of fishery products, fishing gear selectivity, good practices, and potential to help young people finding jobs. Finally, this study offers policy recommendations relevant to EU decision-making to achieve a better use of AI systems in the fisheries sector ...