An effective plan to deliver on our goals for the future of mobility is meaningless without the governance structures to support thoughtful decision making and resource allocation. This section explores the intersection of governance, technology, and driving towards outcomes that are in the public benefit.

Artificial intelligence and technological compliance

Artificial intelligence can be a huge boon to the mobility industry. For example, digital technology can support enforcement of high-capacity lanes through providing the agency managing those lanes clear data on the number of people in a car to support charging users properly. Or digital technology can support the public management of privately operated transportation systems. Yet there are risks with delegating out all our decision making to artificial intelligence. AI follows the rules it was programmed to follow, while people can bring in additional data. This sub-topic will explore where to leverage computer power and where we should retain human reason. Key questions the Commission will explore are:

  • What are the current applications of AI or computer processing across the transportation industry? Where have we unlocked clear value? Where have we created new challenges?
  • What is the role for policy makers in determining how to best leverage AI and computer power within our transportation system?

Data management, privacy, and security

Today, many public transportation agencies have limited access to data. Yet, with the unprecedented adoption of connected devices, there is the potential for governments to capture much more granular data to help guide decision making and operation of transportation networks and cities. This topic explores what data governments need, how to get it, and what to do when they have it. Questions we will explore are:

  • What data do governments currently have access to?
  • What are key gaps of data based on defined use cases (i.e. what do they actually need beyond giving all data)? What is the most effective way to access those data?
  • How should public agencies store, manage, and protect data?
  • How should public agencies process those data to ensure that they are able to get the greatest benefit? :
  • What are the greatest data security and privacy risks we face in transportation and smart cities? How do we manage those risks? What policy steps can we take to mitigate risk?
  • How do different data privacy laws across the world support or inhibit new business models?
  • Should your location be considered personal information?