The document discusses the role of artificial intelligence (AI) in promoting sustainability in various sectors, including healthcare, recycling, and wildlife monitoring. It highlights AI's potential applications such as automated diagnosis, disaster response, and text analysis while addressing the environmental impact of AI, including energy consumption and electronic waste. The document also emphasizes the importance of unbiased AI training data and the collaborative efforts within the Lund AI network.

1. AI as a Tool and
Target for
Sustainability Efforts
Sonja Aits
Cell Death, Lysosomes and Artificial Intelligence Group,
Lund University &
Lund Institute of Advanced Neutron and X-Ray Science
(LINXS)
sonja.aits@med.lu.se
@Aitslab

2. Artificial intelligence
Machine learning
Deep learning

3. AI is a powerful tool for image analysis
Classifying and
scoring images
Counting and
tracking objects
Distinguishing
structures

4. AI can help mine unstructured text data
News articles
Twitter messages
Government/NGO reports
Public mailing lists
Health care data
Self-reporting apps
Web searches
Test results
…
Text classification
Named entity recognition
Relation extraction
Sentiment analysis
Summarization

5. Other applications of AI
• Forecasting
• Outlier detection
• Data clustering
• Recommender systems
• Chat bots
• Generation of artificial data
…

6. How can AI make the world more
sustainable?

7. AI can help tackle global health crises
Named entity
recognition
Named entity
linking
Relationship
extraction

8. AI can improve health care and make quality
care more accessible
Collecting patient
history
Automated
diagnosis
Treatment
recommendations
Staff/resource
allocation
Surgical robots
Therapy
development
Virtual health
assistants

9. https://www.climatechange.ai/resources

10. AI can facilitate recycling

11. AI can monitor wildlife

12. AI can facilitate disaster prediction,
assessment and response planning

13. AI for sustainability Sustainability of AI

14. Biased training data makes AI models
prejudiced
https://sitn.hms.harvard.edu/flash/2020/racial-discrimination-in-face-recognition-technology/

15. AI is a power-hungry technology
Estimated
CO2 emissions (lbs)
Air travel, 1 passenger, NY↔SF 1 984
Training BERT base 1 438
Strubell et al. arxiv 2019

16. The environmental impact of AI
Energy consumption for
model training and application
Electronic waste
Use of raw materials
Production and transportation
computational hardware

17. AI will have a massive impact on the job
market

20. AI
Lund
AI Lund
Open network for artificial intelligence hosted by Lund University, Sweden
http://ai.lu.se/
 AI research, innovation, education and cooperation
 2000 members - academia, industry, public sector
 Very interdisciplinary
 Close connections to other local, Swedish and European e-science
organizations
eSSENCE
WASP
AI
Sweden
Sustainable
AI Center
AI
Competence
for Sweden
Compute
Graduate
School
WASP
HS
RSG
Bioinformatics
ELLIIT
HubAI
Swedish AI
Society

21. www.compute.lu.se
compute@fysik.lu.se

22. https://entrepreneur.lu.se/kalendarium/future-of-work-
challenges-and-opportunities-for-ai

23. Contact me
for projects
or collaborations!
Cell Death, Lysosomes and AI Group
http://research.med.lu.se/sonja-aits
https://www.youtube.com/c/AitsLab
https://www.linkedin.com/in/sonjaaits/
Twitter: @Aitslab
sonja.aits@med.lu.se
Contact me
for projects
or collaborations!