LCOY 2022 - Using AI to create Climate-Friendly Cities

1. Using Artificial Intelligence (AI)
to create Climate-Friendly Cities
Dr. Mennatullah Hendawy (Ain Shams University & Impact Circles, Germany)
and Eng. Lamiaa Ghoz (Ain Shams University, Impact Circles, German University in Cairo)
Local Conference of Youth Egypt (LCOY) 2022
MOOC Urban AI
MOOC Urban AI

2. This session introduces case studies from
across the world that uses Artificial intelligence
(AI) to address the climate emergency in cities.
Using discussion based learning
MOOC Urban AI
MOOC Urban AI

3. What do you know about AI?
Please scan the QR code
MOOC Urban AI
MOOC Urban AI

4. Agenda
1. About us
2. What is AI? What is Urban AI?
3. What are climate-friendly cities?
4. Examples of Using AI to create a Climate Friendly World
5. AI & SDGs
6. AI Ethics
7. Climate and Green AI
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MOOC Urban AI

5. About us

6. Project description: MOOC Urban AI
Image Source: https://www.codlearningtech.org/2015/11/23/5-questions-what-you-need-to-know-about-moocs/
MOOC Urban AI
MOOC Urban AI

7. What is the MOOC on Urban AI?
● Understand the impacts of global movements such as Artificial Intelligence on the
planning of cities.
● Understand the link between AI, urbanism, and smart cities.
● Understand AI as context-dependent.
● Understand the opportunities and challenges of the application of AI in African cities.
● Understand data ethics in smart cities.
● Understand the gap between smart technology and social justice in cities.
● Reflect on the intersection of AI and urbanism for social and environmental justice of
African cities.
MOOC Urban AI
MOOC Urban AI

8. Who are we?
Dr. Mennatullah Hendawy
PI MOOC Urban AI and Lecturer at Ain
Shams University
Head of Research, Impact Circles
Eng. MSc. Lamiaa Ghoz
Project Coordinator, MOOC Urban AI
TA at the German University in Cairo
Research Assistant, Impact Circles
MOOC Urban AI
MOOC Urban AI

9. 9
Source: https://aedibnet.eu/get-involved/digital-innovation-hubs/
Related projects: AEDIB|NET
African European Digital Innovation Bridge Network - SCSH (GERMANY-EGYPT)
MOOC Urban AI

10. More information: https://sites.google.com/view/urban-ai-cairo/home
The Cairo Charter : Urban AI in Africa for Social & Environmental Justice
Mennatullah Hendawy
(Germany)
Stephanie Sherman
(UK)
Katrien Pype
(belgium)
Samah El Khateeb
(Egypt)
Related projects Cairo Urban AI Charter
developed by a team from Egypt, Germany, UK, Belgium
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11. So, What is AI?

12. Image Source: https://medcitynews.com/uploads/2021/03/GettyImages-1206796363.jpg
Source: https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-ai/
The intelligence of a machine or computer that
enables it to imitate or mimic human capabilities
such as
➔ learning from examples and experience,
➔ recognizing objects,
➔ understanding and responding to language,
➔ making decisions,
➔ and solving problems.
What is Artificial Intelligence (AI)?
MOOC Urban AI
MOOC Urban AI

13. What is Artificial Intelligence (AI)?
Source: https://www.youtube.com/watch?v=UdE-W30oOXo
MOOC Urban AI
MOOC Urban AI

14. What is urban AI?
● The phenomena of
integrating AI technologies
into cities or Tech powered
urban design.
● IT is rearranging our society
in more subtle ways, through
AI-led meta-analysis of
previously separate datasets.
Source: https://link.springer.com/article/10.1007/s00146-022-01537-5
CCTV
Urban closed
circuit television
Geographical
information systems
Urban mobility
systems
AI led meta-analysis
GIS
MOOC Urban AI
MOOC Urban AI

15. Artificial intelligence and cities
Source:https://aimagazine.com/top10/10-ways-ai-can-be-used-smart-cities
Waste
management
Safety &
Security
Public
transportation
monitoring
pollution
The
environment
Traffic
management
MOOC Urban AI
MOOC Urban AI

16. https://www.youtube.com/watch?v=UXxyCBimRyM
Example of AI Projects in cities
MOOC Urban AI
MOOC Urban AI

17. Climate friendly cities

18. Top 10 Eco- friendly cities
1. Copenhagen, Denmark.
2. Amsterdam, Netherlands
3. Stockholm, Sweden
4. Berlin, Germany
5. Portland, Oregon
6. San Francisco, California
7. Cape Town, South Africa
8. Helsinki, Finland
9. Vancouver, Canada
10. Reykjavik, Iceland
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MOOC Urban AI
Source: https://www.pointship.net/top-10-eco-friendly-cities-around-the-world/

19. What are climate friendly cities?
Cape Town, South Africa
Vancouver, Canada
Copenhagen, Denmark Tokyo, Japan
Berlin, Germany
MOOC Urban AI
MOOC Urban AI
Helsinki, Finland
● public transportation/ bikes.
●eco-friendly lodging.
●solar and wind energy
systems
●Recycling program.
●Electricity from wind power.
●Bicycles over cars.
●public transit system in place.
●energy efficient buildings.
●public transport.
●high recycling rate.
●Recycling programs.
●public transportation system.
●Electric vehicles charging
points
●Develop green economy.
●Growth in green jobs.
●Support Local farming.
●Bike paths/public transport.
●Africa's greenest city.
●Reduce waste.
●Renewable energy usage.
●supporting farmers markets.

20. 100 cities participating in EU Mission
for climate-neutral and smart cities by
2030
https://mapsontheweb.zoom-maps.com/post/682857893534613504/100-cities-
participating-in-eu-mission-for
MOOC Urban AI
MOOC Urban AI

21. The potentials of AI to make cities climate friendly
● Optimizing energy within cities.
● Improving transport in cities ex. Traffic
flow analysis ex: google maps and
Waze
● Monitoring CO2 emissions
● Sustainable Land Use: AI-augmented
agriculture via robotics
● Pollution Monitoring & Early Detection
Image sources:
Source:https://technologymagazine.com/ai-and-machine-learning/ai-and-iot-help-bring-about-a-smart-city-experience
MOOC Urban AI
MOOC Urban AI

22. The potentials of AI to make cities climate friendly
MOOC Urban AI
MOOC Urban AI
https://gouai.cidob.org/atlas/

23. The potentials of AI to make cities climate friendly
MOOC Urban AI
MOOC Urban AI

24. Image Source:https://earth.org/data_visualization/ai-can-it-help-achieve-environmental-sustainable/
How AI provides
means to tackle
the most
pressing
environmental
challenges.
MOOC Urban AI
The potentials of AI to make cities climate friendly

25. SDG 13 - Climate Action

26. Source: https://sdgs.un.org/goals
GOAL 1: No Poverty
GOAL 2: Zero Hunger
GOAL 3: Good Health and Well-being
GOAL 4: Quality Education
GOAL 5: Gender Equality
GOAL 6: Clean Water and Sanitation
GOAL 7: Affordable and Clean Energy
GOAL 8: Decent Work and Economic Growth
GOAL 9: Industry, Innovation and Infrastructure
GOAL 10: Reduced Inequality
GOAL 11: Sustainable Cities and Communities
GOAL 12: Responsible Consumption and Production
GOAL 13: Climate Action
GOAL 14: Life Below Water
GOAL 15: Life on Land
GOAL 16: Peace and Justice Strong
Institutions
GOAL 17: Partnerships to achieve the Goal
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The 17 sustainable development
goals (SDGs) to transform our word
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27. The potentials to achieve SDG by adopting AI.
Image Source:https://earth.org/data_visualization/ai-can-it-help-achieve-environmental-sustainable/
AI plays an important role in achieving
not only environmental but all other
Sustainable Development Goals- from
ending hunger and poverty to
achieving sustainable energy and
gender equality to protecting and
preserving biodiversity.
MOOC Urban AI
MOOC Urban AI

28. AI for SDGs
AI may act as an enabler
on 134 targets (79%)
across all SDGs,
however, 59 targets
(35%, also across all
SDGs) may experience a
negative impact from the
development of AI.
Source: https://www.nature.com/articles/s41467-019-14108-y#citeas
MOOC Urban AI
MOOC Urban AI

29. AI for SDGs
Source: https://www.nature.com/articles/s41467-019-14108-y#citeas
25 targets (93%) for which AI could act as an enabler.
MOOC Urban AI
MOOC Urban AI

30. AI for SDGs
Source: https://www.nature.com/articles/s41467-019-14108-y#citeas
Fewer targets in the
Society group can be
impacted negatively by
AI (31 targets, 38%)
However, their
consideration is crucial.
another important
shortcoming of AI in the
context of SDG 5 on
gender equality.
MOOC Urban AI

31. AI Ethics

32. Why
AI
ethics?
At the end of the day, Artificial Intelligence (AI)
systems are man-made systems that mimic
existing social biases and power relations, and
as a result, potential harms caused by AI
systems can be anticipated.
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33. What is AI ethics?
● AI ethics is a set of beliefs, concepts,
and methodologies to govern moral
behavior in the development and
application of AI technologies.
● Create ethical, fair, and safe AI
applications.
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Governable
Reliable
Responsible
AI Ethics
Equitable
Traceable

34. Existing Ethical frameworks
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2017
AI Index Report
2017
Microsoft’s responsible AI
principles
2018
AI Index report
2018
EU -The Ethics Guidelines for Trustworthy
Artificial Intelligence (AI)
2019
Australia’s AI ethics
principles
2019
OECD AI principles
overview

35. The three waves of AI ethics
The first wave of AI ethics focused on what AI might do (e.g. Superintelligence) and amounted to the ethics
of fanciful scenarios of robot uprisings.
The second wave of AI ethics addressed the practical concerns of machine learning (ML) techniques: the
black-box algorithm and the problem of explainability, the lack of equal representation in training data and
the resulting biases in AI models, and the increase in facial and emotion recognition systems infringing on
citizens rights (e.g. privacy).
The third wave of AI ethics, one that confronts the environmental disaster of our time head-on and actively
seeks to engage academics, policy makers, AI developers and the general public with the environmental
impact of AI. it address the sustainability of developing and using AI systems in and of themselves.
MOOC Urban AI
Source:https://link.springer.com/article/10.1007/s43681-021-00043-6#:~:text=Sustainability%20of%20AI%20is%20focused,of%20AI%20for%20the%20envir
onment https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-sustainability-d40fd714d396

36. Climate AI
Image Source: https://earth.org/data_visualization/ai-can-it-help-achieve-environmental-sustainable/
Climate Change AI is a global
initiative to catalyze impactful
work at the intersection of
climate change and machine
learning.
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37. Green AI
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● The term Green AI refers to AI research that
yields novel results while taking into account
the computational cost, encouraging a
reduction in resources spent.
● The Green AI Standard aims to develop a
standard and raise awareness for best
environmental practices in AI research and
development.
● Developing machine learning models is
extremely costly for the environment.
● Training Bidirectional Encoder
Representations from Transformers (BERT)
on a GPU is roughly equivalent to a trans-
American flight (650kg CO2).
Image Source: https://www.enterpriseai.news/2022/03/01/going-green-in-the-ai-era-an-imperative-for-performance-intensive-applications/

38. Final remarks

39. 39
Key components of (AI)
Source: https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-ai/

40. Thank you