Page 52 - AI for Good - Impact Report
P. 52

AI for Good



                   Sustainable Development Goal 11: Sustainable

                   Cities and Communities




                  Make cities and human settlements inclusive, safe,
                  resilient and sustainable

                  Data availability for SDG 11 is notably low, with only 35% of
                  data available, posing challenges in assessing progress on
                  the targets. 304  Currently, only 1 out of the 10 targets (11.6
                  Urban air quality & waste management) is on track. This
                  translates into 1.1 billion urban residentsliving in slums,
                  with this number expected to rise to 2 billion in the next 30
                  years. 305  As cities continue to expand globally, the signifi-
                  cance of SDG 11 is growing, with an estimated five billion
                  people expected to reside in cities by 2050, compared to
                  3.3 billion in 2014. 306

                  AI and SDG 11                                                                 Impact
                                                                        According to  a study on the impact of AI on
                  The relationship between AI and SDG 11 is well-documented, with   SDG 11, AI could act as an (positive) enabler
                  numerous AI use cases: 17 use cases out of 40 in AI for Good: Innovate for   for 100% of the targets and act as an inhibi-
                  Impact, 307 and approximately 80 use cases out of 408 in the UN Activities on   tor (negative) for 20% of the targets. (Nature
                                                                                     Communications, 2020)
                  AI. 308 This demonstrates the breadth of AI applications available to advance
                  smart cities and align with a forward-looking vision. Notably, several articles   Use case 1
                  highlight the benefits of leveraging AI to develop smart cities. 309 AI has   Developing smart cities that are less envi-
                  the potential to enhance cities by promoting environmental sustainabil-  ronmentally impactful, and more enjoyable

                  ity through energy efficiency and space optimization,  311 312 as well as by   for the urban population using AI and tech-
                                                                                               nologies.
                  improving the overall livability and organization of urban areas through
                  enhanced transportation systems. 313 314 Furthermore, the adoption of AI in

                  smart cities has shown promise in reducing inequalities compared to tradi-
                  tional cities. 315  Additionally, AI can also be used to help in the design of cities

                  and to drive urban planning. 316 317 Additionally, AI can play a crucial role
                  in city design and urban planning, providing urban planners with tools to
                  expedite decision-making processes and prioritize citizen needs, ultimately
                  leading to more inclusive and sustainable city development. Moreover, AI
                  can contribute to enhancing city security by facilitating the monitoring of
                  urban activities. 318                                                            link
                                                                                             Use case 2
                  One important aspect to consider is the need to build trust and transpar-
                  ency with citizens regarding the value of smart cities and the responsible   Using an AI platform to help increase the
                  use of data.  319 For instance, one attempt to establish a smart city in Toronto   security of cities by monitoring and flagging
                  failed due to a lack of public trust, highlighting the critical importance of   any risks for the citizens.
                  citizen involvement in the development of smart cities. 320 It is also import-
                  ant to mitigate the potential risks associated with AI, such as the risk of
                  conducting surveillance on specific communities, as identified in SDG 10.
                  321  Additionally, within the context of SDG 11, the preservation of cultural
                  and natural heritage (SDG 11.4) is paramount. There is a growing concern
                  about the potential homogenization of the creative sector by AI, which could
                  stifle creative diversity.  322 It is important to recognize the risk that a limited
                  number of AI tools influencing areas such as arts and architecture may lead
                  to a reduction in cultural diversity within the sector.                          link
                                                                                             Use case 3
                  Key Considerations for Stakeholders                    Developing cities plan and urban solutions
                                                                             using AI to improve the development
                  •   Data privacy: Insufficient trust in data sharing has the potential to dimin-  process and connect it to the needs of the
                     ish the effectiveness of smart cities. 323  Governments need to establish   citizens.
                     robust privacy frameworks to prevent data over-sharing and mitigate
                     associated concerns.
                  •   User-centric: Align the development of AI solutions with the “Recom-
                     mendation on the Ethics of Artificial Intelligence” from UNESCO to
                     ensure that human dignity is maintained. 324




                                                                                                   link



                                                           42
   47   48   49   50   51   52   53   54   55   56   57