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Collaborative power of AI and citizen science can advance Sustainable Development Goals

The article from MSN discusses how the integration of artificial intelligence (AI) with citizen science can significantly advance the United Nations' Sustainable Development Goals (SDGs). It highlights that AI can process vast amounts of data collected by citizen scientists, enhancing the analysis and interpretation of environmental, health, and social data. This collaboration can lead to more effective monitoring of biodiversity, climate change, and public health issues. For instance, AI algorithms can analyze images and data submitted by volunteers to track wildlife populations or pollution levels. The article also points out the potential of AI to democratize science by making research tools and data analysis accessible to non-experts, thereby fostering a more inclusive approach to solving global challenges. However, it notes challenges such as ensuring data quality, privacy concerns, and the need for ethical AI use to prevent biases and ensure equitable benefits from these technological advancements.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/artificial-intelligence/collaborative-power-of-ai-and-citizen-science-can-advance-sustainable-development-goals/ar-AA1vXKjP ]