Page 62 - KEC Khaitan C8.3 Flipbook
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INTRODUCTION TO SDGs CHAPTER
AND DATA SCIENCE A5
Learning Outcomes 95%
The student will be able to:
identify challenges before Sustainable Development
learn Sustainable Development Goals (SDGs)
understand the concept of data science
understand the role of data scientist and solving problems with data science
explore the tools used by data scientists.
understand the interconnection between AI and Data Science.
Sustainable Development Goals (SDGs) are a set of 17 global objectives aimed at ending poverty,
protecting the planet, and ensuring prosperity for all by 2030. They address key issues such as
climate change, inequality, and peace.
CHALLENGES BEFORE SUSTAINABLE DEVELOPMENT
Some of the key challenges to sustainable development are given below:
There is instability and conflict between the nations.
There is lack of proper planning and implementation of programmes to fit the local level.
Non-profit organisations may lack skilled resources such as data scientists and NLP engines.
Human bias may be embedded in AI models or datasets.
Sensitive data needs to be protected from being made public.
SUSTAINABLE DEVELOPMENT GOALS (SDGS)
In September 2015, 193 member countries of the General Assembly agreed to adopt the 2020
Agenda for Sustainable Development that contains a set of 17 global goals to end poverty, protect
the planet, and ensure peace and prosperity for the people around the globe. These 17 goals are
integrated in such a manner that action on one will have an impact on the other.
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