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The rapid pace of AI development has highlighted significant challenges in its creation and deployment, primarily due to the centralised control maintained by a few large corporations. Such an approach exacerbates biases within AI models due to a lack of effective governance and oversight. Furthermore, it diminishes public engagement and raises serious data protection concerns. The resulting monopolistic control over data and model outputs also poses a threat to innovation and equitable data usage, as users unknowingly contribute to data sets that serve the interests of these corporations.