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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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