IPOL_BRI(2021)662936_EN.pdf- “The Role of AI in Improving Public Services: Benefits and Challenges” – “Creating Trustworthy AI in the Public Sector: Regulatory Sandbox and Pre-Procurement” – “Exploring the Use of AI in Public Services: Focus and Concerns” – “Promoting Human-Centric AI in the Public Sector: Education and Explanation” – “Understanding the Definition and Uptake of AI in Public Services” – “The Public Sector’s Role in Developing Responsible and Trustworthy AI” – “AI in Public Services: Enhancing Efficiency and Safeguarding Human Rights” – “Harnessing the Power of AI for Public Services: Opportunities and Risks” – “Accelerating the Societal Uptake of Responsible AI in the Public Sector” – “Open Data for AI in Public Services: Benefits and Challenges”

– AI is increasingly used in public services, with a focus on law enforcement and process optimization.
– Ensuring explainability of AI systems is crucial but challenging.
– There is growing public concern about the development and use of AI.
– The public sector should lead in creating trustworthy AI.
– Regulatory sandboxing and pre-procurement are important for creating trustworthy AI.

– Benefits of AI in public sector: efficiency, error reduction, digitization
– Barriers to uptake: data access, regulation, best practices

– AI use in public sector brings efficiency gains.
– AI reduces human error and fraud.

– 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.

– AI has become a key technology in public services.
– Explainability of AI systems in public services is crucial.
– Focus of AI applications in public services is on law enforcement, surveillance, and process optimization.
– AI for front-end public services is less of a priority.
– Public concern over the development and use of AI is growing.
– The public sector should lead in creating trustworthy AI.
– Regulatory sandboxing and pre-procurement are key for creating trustworthy AI.

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