Artificial intelligence (AI) has the potential to help combat climate change, but there are concerns, such as the possibility of bias in the datasets used to train AI models. Researchers at the University of Cambridge have found that biased AI could misrepresent climate information and harm the most vulnerable. To address this, globally inclusive datasets are necessary. If climate change information is predominantly represented by individuals from privileged institutions in the Global North, AI will only perceive climate change through their perspective, while others with limited access to technology will be underrepresented.
The study’s authors advocate for human-in-the-loop AI designs to reduce data injustices and support climate action. It is crucial to address digital inequalities and injustices within the AI community to effectively use AI in addressing climate change. Failure to do so could have very negative outcomes for societal and planetary stability.\
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