All Transport
Reporting Mobility Data: Good Governance Principles and Practices
Corporate Partnership Board Report, Policy Insights,
9 March 2022
- Embed individual privacy rights at the heart of data-reporting policies.
- Adopt coherent data-governance frameworks.
- Establish, document and communicate the basis for public authority data-reporting mandates.
- Align data-reporting mandates to targeted outcomes.
- Create and adhere to clear personal data processing, retention and destruction policies.
- Explore ways to ensure that data reporting preserves privacy and protects commercial interests by default.
Governing Transport in the Algorithmic Age
Corporate Partnership Board Report, Policy Insights,
22 May 2019
- 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.