Governing Transport in the Algorithmic Age
This study explores where automated decision-making systems impact transport activity, and how. More and more transport activity is influenced by algorithms. Automated decision-making is taking a hold in areas from health care and housing to media and mobility. In transport, algorithms are a core feature for services from public transport scheduling to routing apps, bicycle sharing to self-driving technology, parcel delivery to the dispatching of ride services. How can policy makers ensure mobility driven by algorithmic code supports societal objectives?
- Make transport policy algorithm-ready and transport policy makers algorithmically-literate.
- Ensure that oversight and control of algorithms is proportional to impacts and risks.
- Build in algorithmic auditability by default into potentially impactful algorithms.
- Convert analogue regulations into machine-readable code for use by algorithmic systems.
- Use algorithmic systems to regulate more dynamically and efficiently.
- Compare the performance of algorithmic systems with that of human decision-making.
- Algorithmic assessment should go beyond transparency and explainability.
- Establish robust regulatory frameworks that ensure accountability for decisions taken by algorithms.
- Establish clear guidelines and regulatory action to assess the impact of algorithmic decision-making.
- Adapt how regulation is made to reflect the speed and uncertainty around algorithmic system deployment.