Over-dependence on technology

Key Question: Are we becoming too reliant on technology to solve environmental problems?

map of threatened areaImage source: Mongabay

While AI offers powerful tools for conservation, over-reliance on technology can lead to neglect of traditional methods and local knowledge.

There is also a risk of assuming that technology alone can solve complex issues like deforestation, without addressing underlying causes such as poverty, policy failures, or lack of education.

Examples:
Traditional Forest Management: Indigenous communities have used sustainable practices for centuries, such as rotational farming and controlled burns. These methods are often overlooked in favor of high-tech solutions.
Technological Failures: AI systems can fail due to technical issues, lack of data, or misinterpretation of information, highlighting the need for human oversight.

click image to enlargeforest monitoring image

Discussion Points:
What are the risks of relying too heavily on AI for conservation?
How can we integrate traditional knowledge with modern technology to create more effective solutions?

Activity: Prepare to organise a class debate on the statement: “AI is the only solution to stopping deforestation in the Amazon.”
Assign students to argue for or against the statement, encouraging them to consider both the benefits and limitations of AI

<<  Ethics of AI in Conservation

Ethical Dilemma Scenario

This is an example of an ethical dilemma which can be explored in the classroom.

Objective:
Students will analyse a real-world scenario involving AI and conservation, considering the ethical implications and proposing solutions.

Scenario:
A conservation organisation plans to deploy AI-powered drones to monitor illegal logging in the Amazon.

The drones will capture high-resolution images and audio recordings of the forest.

forest drones Image source: Planet Warriors

However, local indigenous communities are concerned about their privacy and fear that the data could be used against them.

Steps:
Group Work: Divide students into groups and assign them roles (e.g., conservationists, indigenous leaders, government officials, AI developers).
Discussion: Each group discusses the scenario from their assigned perspective and identifies the ethical issues involved.
Proposal: Groups propose solutions to address the concerns while still achieving the conservation goals.
Presentation: Each group presents their solution to the class, followed by a Q&A session.

Reflection Questions:
What will the students learn about the ethical challenges of using AI in conservation?
How can we ensure that technology is used responsibly and equitably?

Further sources of information

Exploring Floods >>