What types of problems in government could AI be used to solve

The potential uses of AI in government are wide and varied, with Deloitte considering that "Cognitive technologies could eventually revolutionize every facet of government operations". Mehr suggests that six types of government problems are appropriate for AI applications:
- Resource allocation - such as where administrative support is required to complete tasks more quickly.
- Large datasets - where these are too large for employees to work efficiently and multiple datasets could be combined to provide greater insights.
- Experts shortage - including where basic questions could be answered and niche issues can be learned.
- Predictable scenario - historical data makes the situation predictable.
- Procedural - repetitive tasks where inputs or outputs have a binary answer.
- Diverse data - where data takes a variety of forms (such as visual and linguistic) and needs to be summarised regularly.

The potential uses of AI in government are wide and varied but some appropriate areas to consider AI applications include: Resource allocation; Large datasets; Repetitive tasks; Answering basic questions; Summarising data from multiple forms; Predicting future scenarios based on historical data.