As Amsterdam’s energy grid faces growing demands, Automated Decision-Making (ADM) systems are being used to manage how energy is distributed, especially in the context of EV charging. ADM technology can analyze real-time data, forecast demand, and automatically adjust where and when energy is delivered, helping to avoid grid overloads and improve efficiency. While ADM has the potential to streamline energy management and make EV charging more convenient, it also raises important questions about fairness and transparency.

One major concern is whether ADM systems make decisions that benefit everyone equally. ADM relies on algorithms to prioritize energy distribution, which could unintentionally favor certain areas or groups. For instance, if the system is designed to maximize grid stability or profit, it may focus on neighborhoods with higher EV usage—often wealthier areas—while providing less support to lower-income communities. This could mean that those in less affluent neighborhoods experience slower charging or reduced access during peak demand times, further widening existing inequalities in EV infrastructure access.

Transparency is another key issue. With ADM handling complex energy decisions, the process can feel distant and opaque to the average user. People may wonder: Why was my charging delayed? or Why are certain areas prioritized over others? Without clear information on how ADM systems make these choices, public trust can suffer, especially if some groups feel unfairly treated.

To address these concerns, it’s essential to ensure that ADM systems consider factors beyond just efficiency, such as equitable access and the unique needs of different communities. With the right safeguards, ADM can be an effective tool for managing energy fairly and inclusively, supporting a cleaner, smarter energy future for all.