The article "The Ethical Concerns of Artificial Intelligence in Urban Planning" by Thomas W. Sanchez, Marc Brenman, and Xinyue Ye explores the ethical challenges posed by the integration of artificial intelligence (AI) into urban planning. The authors highlight several key issues, including bias, transparency, accountability, privacy, and misinformation. They review existing literature and identify critical ethical concerns, emphasizing the need for transparency, inclusive data sets, public engagement, and robust ethical guidelines. The article discusses how AI can perpetuate biases, obscure decision-making processes, and infringe on privacy, potentially undermining public trust and excluding marginalized communities. It also addresses the importance of human oversight and continuous monitoring to ensure ethical practices and build trust. The authors recommend that urban planners adopt a proactive approach to mitigate these ethical risks, ensuring transparency, involving diverse community groups, and maintaining strong data privacy measures. By prioritizing public engagement and education, planners can demystify AI technologies and build public trust, allowing AI to enhance urban planning while safeguarding equity, privacy, and accountability.The article "The Ethical Concerns of Artificial Intelligence in Urban Planning" by Thomas W. Sanchez, Marc Brenman, and Xinyue Ye explores the ethical challenges posed by the integration of artificial intelligence (AI) into urban planning. The authors highlight several key issues, including bias, transparency, accountability, privacy, and misinformation. They review existing literature and identify critical ethical concerns, emphasizing the need for transparency, inclusive data sets, public engagement, and robust ethical guidelines. The article discusses how AI can perpetuate biases, obscure decision-making processes, and infringe on privacy, potentially undermining public trust and excluding marginalized communities. It also addresses the importance of human oversight and continuous monitoring to ensure ethical practices and build trust. The authors recommend that urban planners adopt a proactive approach to mitigate these ethical risks, ensuring transparency, involving diverse community groups, and maintaining strong data privacy measures. By prioritizing public engagement and education, planners can demystify AI technologies and build public trust, allowing AI to enhance urban planning while safeguarding equity, privacy, and accountability.