IPOL_BRI(2021)662936_EN.pdf

– Paper discusses AI’s use in improving public services and challenges.
– It explores how public investments can accelerate responsible AI adoption.
– Benefits and drivers of AI in public services are identified.
– Challenges to AI uptake and acceleration are presented.
– Paper concludes with recommendations.

– Identifies barriers to AI uptake in the public sector
– Discusses the potential harm and risks associated with AI
– Highlights the benefits of AI in improving public services
– Recommends regulatory sandboxing and preprocurement for trustworthy AI
– Emphasizes the need for explainability and trustworthiness in AI systems
– Addresses the growing public concern over AI development and use

– AI use in EU public sector is not lagging behind other sectors.
– Responsible AI development is important in public services.
– Some AI applications in public services are banned due to risks.
– AI can improve public services through efficiency and error reduction.
– Human Rights Impact Assessment and regulatory simplification are recommended.

– AI use in the public sector has increased over the past two years.
– Public concern over the development and use of AI is growing.
– Trustworthy and responsible AI is crucial for public services.
– Different definitions of AI in public services exist.
– Access to data, complex regulations, and sharing best practices are barriers to uptake.
– AI in the public sector can lead to efficiency gains and less error/fraud.

– The paper discusses the use of AI in public services.
– It identifies benefits and challenges of using AI in public services.
– The paper emphasizes the need for responsible and trustworthy AI.
– It highlights the importance of explainability and human-centeredness in AI.
– The paper suggests regulatory sandboxing and preprocurement as key strategies.
– Different definitions of AI in public services are discussed.
– The paper mentions the growing public concern over the development and use of AI.
– It emphasizes the role of the public sector in creating trustworthy AI.
– The paper concludes with recommendations for the use of AI in public services.

– Public sector should educate the public about AI.
– Access to data and expertise are barriers to AI uptake.
– Regulatory sandboxing is important for developing trustworthy AI.
– Social science and humanities should be involved in AI development.
– Basic services like postal services are subject to competition rules.