A common mistake in the early phase of technology development is to externalize ethical concerns or postpone them as something that may be dealt with later. Be it climate change or the unsolved question of the repository problem of nuclear waste, instead of considering these side effects of developments right from the beginning they are often ignored and handed over to the next generation to find a solution. Already now our world is a repository of unsolved problems generated by earlier industrial and technological revolutions. To not leave even more unsolved problems for the next generation we should change our attitude and consider potential ethical impacts already when developing new technologies. Indeed, it could help increasing the quality and positive impact of Artificial Intelligence if, for example, the ethical concerns regarding AI were considered right from the beginning.
Planners face many ethical dilemmas stemming from the need to balance diverse and often conflicting interests. Therefore, ethical planning requires a conscious approach to conflicts striving for solutions that are fair and just, especially in the face of competing demands. Decisions influenced by planners tasked with making decisions that have long-term implications for the environment and future generations. Will this change through AI?
In the Paper ‘The Ethical Concerns of Artificial Intelligence in Urban Planning’ by Thomas W. Sanchez, Marc Brenman, and Xinyue Ye just published in the Journal of the American Planning Association (2024)[1] the authors discuss how warnings about the use of AI ultimately echo existing concerns regarding human performance and trustworthiness because human involvement remains crucial. Quoting the French writer Antoine de Saint-Exupéry the paper states “The machine does not isolate man from great problems of nature but plunges him more deeply into them”. More specifically, they describe their finding:
“The training phase of AI, especially within supervised learning models, further accentuates the need for human control. During this phase, AI learns from data curated, cleaned, and labeled by human experts. It is through this iterative process, where humans delineate right from wrong and correct from incorrect and create rules-based structures, that AI models gain their decision-making capabilities. In addition, though AI operates on algorithms, the nuances of its operations are determined by parameters and hyperparameters set by human operators. This offers a means for experts to fine-tune the behavior and outcomes of AI, ensuring its alignment with specific urban planning objectives, like the population prediction example mentioned earlier. The use of AI in urban planning obligates planners to play multiple roles, transitioning from mere beneficiaries of AI’s analytical capabilities to stewards of its ethical and effective deployment. Planners, while leveraging AI’s insights, retain the crucial responsibility of contextualizing these insights within the landscape of the urban fabric, societal nuances, and historical precedents.”
The planner plays now a gatekeeper role between AI and the society, making planners, their education and further capacity building even more important while it increased the challenges for cities with insufficient staffing in their planning departments.
Therefore, the ethical use of AI is not a nice add-on to a new technology but a basic ingrediency to urban planning
Towards the end of their paper Sanchez, Brenman, and Ye propose key recommendations for Ethical AI Implementation in Urban Planning:
· Establish clear ethical guidelines and standards
· Prioritize transparency and accountability
· Ensure inclusive and diverse data sets
· Foster public engagement and participation
· Conduct regular ethical audits and reviews
· Promote interdisciplinary collaboration
· Invest in AI literacy and education
· Develop robust privacy and data security policies
[1] https://www.tandfonline.com/doi/full/10.1080/01944363.2024.2355305