AI and the tyranny of the data commons

The article argues that the promise of a democratic sharing economy was a deception, as the vast amounts of free data generated by users have been appropriated by corporations to train proprietary artificial intelligence models. Rather than fostering a communal benefit, this process has created a "tyranny of the commons" where individual contributions are exploited for private profit, allowing tech giants to accumulate immense wealth while evading responsibility for the societal and environmental costs of their operations. By falsely characterizing data as a non-rivalrous resource, Big Tech obscured the human labor and energy costs inherent in its production and repurposing. This ideological framing encouraged users to willingly donate their digital footprints under the guise of contributing to a global commons. In reality, the infrastructure and labor required to process this data are rivalrous and exploitative, turning a theoretically open resource into a private asset class that reinforces economic inequality and corporate power. This narrative is crucial to open data because it highlights the urgent need to distinguish between genuine public access and corporate data extraction. It warns against accepting AI systems labeled as "open-source" if they are built on unconsented user data, drawing parallels to historical colonial dispossession. Understanding this dynamic is essential for advocating policies that protect data sovereignty and prevent the privatization of public digital heritage.

Source: aljazeera.com
Published on 2023-08-20

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