Annex I: Application of AI in the public sector

AuthorCepilovs, Aleksandrs
Annex I: Application of AI in the public sector
AI application
AI function and value proposition
Use cases in public sector environments
AI-based knowledge
management (KM)
Generation and systematisation of knowledge-
gathering, classifying, transforming, recording
and sharing knowledge;
Expert systems supporting codification of
knowledge in KM systems;
Neural networks for analysis of data and
production and sharing of knowledge.
Clinical documentation powered by AI in
Case documentation for law enforcement;
Knowledge management, e.g. IT service desks.
AI process automation
Automation of standardised tasks using either
rules-based or machine learning based systems;
Automated workflow processing; IoT and
intelligent sensor based technologies; case-
based reasoning;
Robotic process automation, substituting
humans in routine or dangerous processes.
Automated clinical diagnostics (e.g. cancer
diagnostics based on image recognition);
Automated data entry and classification;
Automated request processing and response.
Virtual agents
AI-based agents for interaction with humans
using NLP and generation via text or sound;
Closed-domain conversational agents as a first
layer of contact;
Can be implemented with automated
Chatbots for IT service desk;
Systems for automated routing of requests with
NLP capability;
Human-computer interaction in cases of
repetitive tasks with defined outcomes (closed-
domain systems with limited knowledge bases).
Predictive analytics
Statistical analysis in cases of small data;
Big-data analytics using machine learning
methods for decision making support;
Predictive analytics for automated decision
Predictive analytics in policing (threat prediction
and prevention);
Predictive modelling for weather emergencies
and seismic activity;
Predictive modelling for infrastructure
Identity analytics
Using machine learning for advanced analytics
of identity data in real time (including facial
recognition for identification and
Risk-based identity checks using big data and
machine learning.
Facial recognition technology for crime
Facial recognition on borders for automated
traveller processing;
Facial recognition for authentication in online
service environments;
Fraud prevention in online service environments
to secure government data.
Cognitive robotics &
autonomous systems
Systems with higher-level cognitive functions,
involving knowledge representation and ability
to learn and respond;
Sometimes in connection with affective
computing to respond to human behaviour
including emotions.
Autonomous vehicles in public transit;
Autonomous vehicles in security and defence
Robot-assisted surgery.
Information classification systems supporting
human decision making and action;
Prediction of user preferences based on
historical data.
Service personalisation in online service
environments based on historical data on service
AI for cybersecurity and
threat intelligence
Data mining and big data analytics for threat
landscape scanning, including NLP;
Cyber threat identification, analysis, and
proactive response;
Vulnerability monitoring.
Cyber threat analysis, vulnerability identification
based on big data analytics and machine learning.
Automated response to potential cyber threats.
Table 1: Opportunities for application of AI in the public sector (adapted by the authors based on Wirtz et al., 2019)

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT