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CASE STUDY 21 st Century #Information Literacy
Skills
Cleaning Oceans with AI
Plastic pollution in the world’s oceans threatens marine life and ecosystems. Detecting and
removing plastic waste is difficult due to the vast, changing ocean environment. Traditional
methods are slow, costly, and inefficient. Coastal communities and environmental groups
lack advanced tools to monitor and clean up plastics effectively, causing ongoing damage to
biodiversity.
Using AI, we can tackle this problem by following key steps:
Step 1: Problem Scoping: Define the goals and challenges of using AI to identify and
remove ocean plastic waste. Consider ocean dynamics, detection limits, and cleanup
scalability. Identify stakeholders and outline the project scope.
Step 2: Data Acquisition: Collect diverse data such as satellite images, drone footage, and
oceanographic records from reliable sources like governments and research bodies,
ensuring ethical and legal compliance.
Step 3: Data Exploration: Clean and analyse data to find patterns in plastic concentrations,
currents, and habitats. Use visualisation and statistical methods to prepare data for
modelling.
Step 4: Modelling: Build AI models, like convolutional neural networks (CNNs) for detecting
plastic in images, and reinforcement learning to optimise cleanup strategies based
on real-time inputs.
Step 5: Evaluation: Test model accuracy and reliability using metrics and validation against
real-world data, ensuring effectiveness across various ocean conditions.
Step 6: Deployment: Implement AI models in drones or underwater robots for real-time
monitoring and cleanup. Use cloud platforms for global scalability and continuously
improve models through feedback.
By applying this AI project cycle, we can better detect, monitor, and remove plastic waste,
protecting marine ecosystems and reducing pollution.
AI Ethics
AI ethics refers to the values and principles guiding right and wrong in developing and using
AI technologies. The AI code of ethics, or AI value platform, sets the guidelines for AI’s role and
behaviour.
AI ethics is needed to clarify ownership and ensure moral responsibility in designing and using AI
systems. National and international regulations are essential to ensure AI benefits all humanity.
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