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What if algorithms decided what we should eat by looking at our DNA?
Algorithm-generated diets tailored to our individual needs could bring health benefits, but at the cost of having to share our most personal data, such as our DNA. The promises are many, but so are the open questions about interactions between genes, nutrients, environment and health, and the role of socioeconomic factors underlying food choices. Precision nutrition advice, services and products will need to be governed by a range of laws and policies, as they are at the intersection between food ...
European streaming platform for national news accessible in all EU languages: Technical feasibility study
The development of a European digital public space in which all European citizens could inform themselves about current affairs would be a great opportunity. While online platform operators from the United States and China provide various different digital media and also meeting spaces, these often lack democratic discourse and at the same time increase polarisation and division by concentrating and rewarding those types of content that generate outrage. Freedom of expression, and the possibility ...
There is growing interest in the applications of artificial intelligence (AI) in the agri-food sector, to extract or exploit the information in datasets resulting from the monitoring of products and processes. Artificial intelligence algorithms, and the models derived from them, are used as support systems for better decision making or, in some cases, are implemented in automatic control processes and robotics, to alleviate drudgery. In this study, sensing and data collection in different agri-food ...
What if AI could make the agri-food sector more resilient?
Artificial intelligence (AI) has been the subject of such strong political and social debate that the question of its suitability for its main original purpose – improving supply chain efficiency – may come as a surprise. What if AI really could help strategic sectors cope with pressure? More specifically, could the agri-food sector benefit from this technology to compensate for the shortages broadly forecast as a result of today's crises?
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 ...
Governing data and artificial intelligence for all: Models for sustainable and just data governance
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 ...
Artificial intelligence in healthcare: Applications, risks, and ethical and societal impacts
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 ...
Regulatory divergences in the draft AI act: Differences in public and private sector obligations
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 ...
AI and digital tools in workplace management and evaluation: An assessment of the EU’s legal framework
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 ...
Person identification, human rights and ethical principles: Rethinking biometrics in the era of artificial intelligence
As the use of biometrics becomes commonplace in the era of artificial intelligence (AI), this study aims to identify the impact on fundamental rights of current and upcoming developments, and to put forward relevant policy options at European Union (EU) level. Taking as a starting point the proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on AI, presented by the European Commission in April 2021, the study reviews key controversies surrounding what ...