– AI use in EU public sector not lagging behind other sectors.
– Focus on trust, excellence, growth, competitiveness, and fundamental rights.
– Some AI applications in public services banned due to risks.
– AI can improve public services, but challenges exist.
– Public concern over AI development and use.
– Public sector should lead in creating trustworthy AI.
– Regulatory sandboxing and pre-procurement key for trustworthy AI.
– Different definitions of AI in public services exist.
– Human responsibility marginalized as complexity of AI increases.
– Explainability and trustworthiness of AI systems crucial but difficult.
– Degree of automation in public services varies.
– Interpretations of public services differ between Member States.

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– Access to data for training and testing is a barrier.
– Complex data regulation landscape is a barrier.
– Sharing of best practices is a barrier.
– Alignment of AI strength and digital government goals is a barrier.
– AI can bring efficiency gains and process optimization.
– AI can reduce human error and fraud.
– AI adoption depends on the level of digitization in society.

– AI use in public sector: benefits and challenges
– Promote Human Rights Impact Assessment for AI

– AI has become a key enabling technology in public services.
– The main benefits of AI use in the public sector include efficiency gains, reduced human error and fraud, and increased digitization.

– The paper discusses the benefits and challenges of using AI in public services.
– It emphasizes the importance of responsible and trustworthy AI in the public sector.
– The paper highlights the need for explainability of AI systems in public services.
– It mentions the growing public concern over the development and use of AI.
– The paper suggests regulatory sandboxing and preprocurement as key for creating trustworthy AI.
– Different definitions of AI in public services are used by various organizations.
– The paper provides a short definition of AI as a collection of technologies that combine data, algorithms, and computing power.
– It mentions the role and influence of human responsibility in AI.
– The paper discusses the different levels or stages of automation in public services.
– It refers to the EU Treaty of Rome and COFOG for the definition of public services.

– Public sector should educate about AI.
– Experimentation and sandboxing are important for trustworthy AI.