– 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.
