Residents should be involved in deciding how AI is used in homes and services

Tenants should not just be informed about the use of AI in these contexts, they should be proactively invited to shape these arrangements. They should know what data is being used, why, what decisions it informs, where a human remains accountable, and how they can challenge or correct information.  Writing in Social Housing, Shakirah Akinwale of UCL highlighted that the power imbalance and stigma that surrounds social housing makes the use of data and AI more sensitive.  She call for a data inclusion approach, in which residents understand what is collected, why it matters, what it means and what benefit it enables.  They receive useful insight, not just alerts, while the landlord receives even richer intelligence and insights across homes, with better understanding of their residents.

Tenants should not just be informed about the use of AI in these contexts, they should be proactively invited to shape these arrangements. They should know what data is being used, why, what decisions it informs, where a human remains accountable, and how they can challenge or correct information.  Writing in Social Housing, Shakirah Akinwale of UCL highlighted that the power imbalance and stigma that surrounds social housing makes the use of data and AI more sensitive.  She called for a data inclusion approach, in which residents understand what is collected, why it matters, what it means and what benefit it enables.  They receive useful insight, not just alerts, while the landlord receives even richer intelligence and insights across homes, with better understanding of their residents.