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IMPACT OF ARTIFICIAL INTELLIGENCE ON WILDLIFE
Tuğçe ARSLAN
Artificial Intelligence (AI) is in
demand in quite a variety of fields
these days. Potential applications of
Artificial Intelligence (AI), already
crucial to global supply chains and
internet operations, are explored in
various contexts such as lawmak-
ing, medicine, and the military.
Then the question comes to
mind:
What does Artificial Intelli-
gence (AI) mean for nature?
Can Wildlife be Created
with Artificial Intelligence
(AI)?
Co–authored by Harvard Uni-
versity Landscape Architect Bradley
Cantrell, Environmental Histori-
an Laura Martin, and University
of Maryland Ecologist Erle Ellis,
the paper’s content is more of a
thought experiment than a practical
program – perhaps given the ad-
vances already driven by Artificial
Intelligence (AI). Nevertheless, it’s
not that far from practice. Some
researchers are already using Ar-
tificial Intelligence (AI) systems to
understand more complex ecologi-
cal datasets.
For example, researchers have
designed autonomous robots for
hunting invasive sea stars in the
Great Barrier Reef. In addition,
applications such as wildlife–direct-
ing fences, seed–dispersing planes,
and arranging river sediments to
support biodiversity are suggested
by experts for Artificial Intelligence
(AI)–powered systems.
anumak.ai
Why are Conservationists Using Artificial Intelligence (AI)
for Wildlife Conservation?
Scientists are using Artificial Intelligence (AI) to understand
what puts these species at risk by providing information on where
they were born, how many survive, where they went and how far
they went. Some advantages of Artificial Intelligence (AI) in ani-
mal species conservation include:
•	 It helps stop the illegal animal trade on social media.
•	 It helps conservationists detect and stop wildlife poaching.
•	 Artificial Intelligence (AI) helps assess the species population
and see changes.
•	 Artificial Intelligence (AI) algorithms can protect animal habi-
tats by predicting animal migration patterns.
•	 Artificial Intelligence (AI) simplifies the collection and analysis
of large and fascinating datasets quickly.
•	 Artificial Intelligence (AI) defines animal species, classifies
them into various classes, and gives detailed information.
•	 Designing an appropriate plan can provide information on the
impacts and mitigation of climate change on wildlife.
•	 Artificial Intelligence (AI) assists wildlife researchers in study-
ing wild animal species collectively and developing strategies
to conserve them.
The application
of Artificial
Intelligence
(AI) has recent-
ly transformed
wildlife conser-
vation. Artificial
Intelligence (AI)
helps researchers
identify animals’
location, sighting
date, migration
patterns, and
even an animal
social group.
In addition, con-
servationists use
Artificial
Intelligence (AI)
to monitor and
protect animals
in their natural
habitat.
anumak.ai
1.	 Rainforest Connection, a San Francisco–based NGO, uses Artificial Intelligence (AI) to com-
bat illegal wildlife in Africa.
2.	 Microsoft’s Species Classification API Demo uses a machine learning model to describe over
5000 animal and plant species.
3.	 The World Wildlife Fund and Intel are collaborating with researchers on a project to monitor
and protect Siberian tigers in China using Artificial Intelligence (AI).
4.	 Conservation Metrics, a Santa Cruz–based company, uses Artificial Intelligence (AI) tools
and machine learning models to help researchers monitor wildlife conditions, distribution,
and population trends.
5.	 Wildbook, a US–based non–profit organization, uses Artificial Intelligence (AI) algorithms to
digitally tag animals like human fingerprints. Algorithms analyze the public photo and video
streams to identify individual animals instantly.
6.	 DeepMind, a UK–based company, has developed an Artificial Intelligence (AI)–based model
to identify and count animal species. It is stationed in Serengeti National Park in Tanzania.
Using Artificial Intelligence (AI), scientists recognize wild animals and protect at–risk species
before it’s too late.
7.	 Conservation Assistant for Wildlife Security (PAWS): PAWS is an Artificial Intelligence (AI)
based application used for predictive analysis and resource optimization. It assists rangers
by analyzing data and providing information on topography, animal population, nature
trails, and foot traffic. In addition, Artificial Intelligence (AI) helps rangers detect wildlife
crimes.
8.	 Saving the global bee colony: Katharina Schmidt, founder of apic.ai, and her team de-
signed a beehive monitor to collect data using TensorFlow, Google’s open-source machine
learning framework. It is supported by tracking various bee activities, such as the number
of bees, their movement mode, or whether they carry pollen. Artificial Intelligence (AI) helps
experts make informed decisions by providing complete data and analytics reports.
9.	 Elephant Listening Project: Cornell University researcher Peter Wrege and his team used neu-
ral networks, a subset of Artificial Intelligence (AI), to collect and classify data on Savannah
Elephants surviving in the dense rainforests of Central Africa. They place sound recorders in
the forest to monitor forest sounds. Then, they set up different neural networks with Conserva-
tion Metrics, a California–based company, to isolate forest sounds and locate elephants and
poachers.
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limited by warranty. It is a company with expertise in creating scalable business models for
different industry verticals. The Company strives to provide solutions through consulting, digital
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business models into high–performance, dynamic, and distinctive business enterprises.
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growth. aNumak & Company and each of its member firms are legally separate and
independent entities. For more detailed information about aNumak & Company and its
member companies, please visit https://www.anumak.com
This material was prepared by aNumak & Company. This material (including any information
it contains) is intended to provide general information on a particular topic(s). This material
may contain information obtained from publicly available information or other third–party
sources. aNumak & Company does not independently verify such sources and is not
responsible for any loss resulting from reliance on information obtained from such sources.
aNumak & Company does not provide any investment, legal, or other professional advice or
services through this material. You should seek specific advice from the relevant
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the sole basis for any decision that could affect you, your business, or the operations of the
company. Before making any decision or taking any action that could affect your finances or
business, you should consult a professional.
No institution at aNumak & Company can be held responsible for any loss suffered by any
person or institution due to access to, use, or reliance on this material. By using this material or
any information it contains, the user accepts he entirety of this notice and the terms of use.
©2022 aNumak & Company
anumak.ai
Amith Kumar
Chief Executive Officer,
aNumak & Company
amith@anumak.com
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Chief Operating Officer,
aNumak & Company
neha.anush@anumak.com
Tuǧçe ARSLAN
Chief Content Officer and PR
aNumak & Company
arslan@anumak.in
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aNumak & Company
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aNumak & Company
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aNumak & Company
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Sales Director,
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Impact Of Artificial Intelligence On Wildlife

  • 1. IMPACT OF ARTIFICIAL INTELLIGENCE ON WILDLIFE Tuğçe ARSLAN
  • 2. Artificial Intelligence (AI) is in demand in quite a variety of fields these days. Potential applications of Artificial Intelligence (AI), already crucial to global supply chains and internet operations, are explored in various contexts such as lawmak- ing, medicine, and the military. Then the question comes to mind: What does Artificial Intelli- gence (AI) mean for nature? Can Wildlife be Created with Artificial Intelligence (AI)? Co–authored by Harvard Uni- versity Landscape Architect Bradley Cantrell, Environmental Histori- an Laura Martin, and University of Maryland Ecologist Erle Ellis, the paper’s content is more of a thought experiment than a practical program – perhaps given the ad- vances already driven by Artificial Intelligence (AI). Nevertheless, it’s not that far from practice. Some researchers are already using Ar- tificial Intelligence (AI) systems to understand more complex ecologi- cal datasets. For example, researchers have designed autonomous robots for hunting invasive sea stars in the Great Barrier Reef. In addition, applications such as wildlife–direct- ing fences, seed–dispersing planes, and arranging river sediments to support biodiversity are suggested by experts for Artificial Intelligence (AI)–powered systems. anumak.ai
  • 3. Why are Conservationists Using Artificial Intelligence (AI) for Wildlife Conservation? Scientists are using Artificial Intelligence (AI) to understand what puts these species at risk by providing information on where they were born, how many survive, where they went and how far they went. Some advantages of Artificial Intelligence (AI) in ani- mal species conservation include: • It helps stop the illegal animal trade on social media. • It helps conservationists detect and stop wildlife poaching. • Artificial Intelligence (AI) helps assess the species population and see changes. • Artificial Intelligence (AI) algorithms can protect animal habi- tats by predicting animal migration patterns. • Artificial Intelligence (AI) simplifies the collection and analysis of large and fascinating datasets quickly. • Artificial Intelligence (AI) defines animal species, classifies them into various classes, and gives detailed information. • Designing an appropriate plan can provide information on the impacts and mitigation of climate change on wildlife. • Artificial Intelligence (AI) assists wildlife researchers in study- ing wild animal species collectively and developing strategies to conserve them. The application of Artificial Intelligence (AI) has recent- ly transformed wildlife conser- vation. Artificial Intelligence (AI) helps researchers identify animals’ location, sighting date, migration patterns, and even an animal social group. In addition, con- servationists use Artificial Intelligence (AI) to monitor and protect animals in their natural habitat. anumak.ai
  • 4. 1. Rainforest Connection, a San Francisco–based NGO, uses Artificial Intelligence (AI) to com- bat illegal wildlife in Africa. 2. Microsoft’s Species Classification API Demo uses a machine learning model to describe over 5000 animal and plant species. 3. The World Wildlife Fund and Intel are collaborating with researchers on a project to monitor and protect Siberian tigers in China using Artificial Intelligence (AI). 4. Conservation Metrics, a Santa Cruz–based company, uses Artificial Intelligence (AI) tools and machine learning models to help researchers monitor wildlife conditions, distribution, and population trends. 5. Wildbook, a US–based non–profit organization, uses Artificial Intelligence (AI) algorithms to digitally tag animals like human fingerprints. Algorithms analyze the public photo and video streams to identify individual animals instantly. 6. DeepMind, a UK–based company, has developed an Artificial Intelligence (AI)–based model to identify and count animal species. It is stationed in Serengeti National Park in Tanzania. Using Artificial Intelligence (AI), scientists recognize wild animals and protect at–risk species before it’s too late. 7. Conservation Assistant for Wildlife Security (PAWS): PAWS is an Artificial Intelligence (AI) based application used for predictive analysis and resource optimization. It assists rangers by analyzing data and providing information on topography, animal population, nature trails, and foot traffic. In addition, Artificial Intelligence (AI) helps rangers detect wildlife crimes. 8. Saving the global bee colony: Katharina Schmidt, founder of apic.ai, and her team de- signed a beehive monitor to collect data using TensorFlow, Google’s open-source machine learning framework. It is supported by tracking various bee activities, such as the number of bees, their movement mode, or whether they carry pollen. Artificial Intelligence (AI) helps experts make informed decisions by providing complete data and analytics reports. 9. Elephant Listening Project: Cornell University researcher Peter Wrege and his team used neu- ral networks, a subset of Artificial Intelligence (AI), to collect and classify data on Savannah Elephants surviving in the dense rainforests of Central Africa. They place sound recorders in the forest to monitor forest sounds. Then, they set up different neural networks with Conserva- tion Metrics, a California–based company, to isolate forest sounds and locate elephants and poachers. anumak.ai
  • 5. ANUMAK & COMPANY aNumak & Company is a global management consulting firm, an India private company limited by warranty. It is a company with expertise in creating scalable business models for different industry verticals. The Company strives to provide solutions through consulting, digital transformation, and innovative products that solve modern business problems. Offering on– site and offshore support and unique strategies, aNumak & Company transforms traditional business models into high–performance, dynamic, and distinctive business enterprises. It brings insights from core domain experts to deliver the best possible solutions to drive growth. aNumak & Company and each of its member firms are legally separate and independent entities. For more detailed information about aNumak & Company and its member companies, please visit https://www.anumak.com This material was prepared by aNumak & Company. This material (including any information it contains) is intended to provide general information on a particular topic(s). This material may contain information obtained from publicly available information or other third–party sources. aNumak & Company does not independently verify such sources and is not responsible for any loss resulting from reliance on information obtained from such sources. aNumak & Company does not provide any investment, legal, or other professional advice or services through this material. You should seek specific advice from the relevant specialist(s) for such services. This material or information is not intended to be considered the sole basis for any decision that could affect you, your business, or the operations of the company. Before making any decision or taking any action that could affect your finances or business, you should consult a professional. No institution at aNumak & Company can be held responsible for any loss suffered by any person or institution due to access to, use, or reliance on this material. By using this material or any information it contains, the user accepts he entirety of this notice and the terms of use. ©2022 aNumak & Company anumak.ai
  • 6. Amith Kumar Chief Executive Officer, aNumak & Company amith@anumak.com Neha Anush Chief Operating Officer, aNumak & Company neha.anush@anumak.com Tuǧçe ARSLAN Chief Content Officer and PR aNumak & Company arslan@anumak.in Cesibel Rodriguez Chief Branding Officer, aNumak & Company cesi@anumak.com Ricky Devaya Chief Human Resource Officer – India, aNumak & Company ricky@anumak.com Vilas Khole Chief Delivery Officer – India, aNumak & Company vilas@anumak.com Karthik Reddy Chief Sales Officer – UAE, aNumak & Company karthik@anumak.in Iván Muñiz Rothgiesser Sales Director, aNumak & Company ivan@anumak.com Gino Mori Valenzuela Client Partner – Retail, aNumak & Company gino@anumak.in Diana Marcela Rios Client Partner – Retail, aNumak & Company diana@anumak.in aNumak & Company marketing@anumak.com Pr@anumak.in - info@anumak.com Víctor Freundt Client Partner – Education, aNumak & Company victor@anumak.in Agyemang Mensah Kwadwo Graphic Designer, aNumak & Company agyemang@anumak.in anumak.ai CONTACTS CONTRIBUTORS