Stinckwich notes that while AI holds potential for accelerating progress on the Sustainable Development Goals, it also poses challenges, including biases in data and inequitable access.
Artificial intelligence can assist in overcoming data scarcity by generating synthetic data, which can help to balance representation in training datasets, particularly in sensitive areas like healthcare.
Gartner predicts that over 60% of data used for training machine learning models will be synthetic by the end of this year, highlighting a shift in data utilization.
The focus on responsible use of AI tools for SDG-related research could lead to innovative solutions, but careful consideration of ethical implications and access is essential.
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