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In its opinion on the case from 2021 , Creative Commons acknowledged that “The legal uncertainty caused by ethical concerns around AI, the lack of transparency of AI algorithms, and the patterns of privatization and enclosure of AI outputs, all together constitute yet another obstacle to better sharing. 4

The challenge for the open movement is already clear: build an alternative to corporate, closed machine learning systems. And to protect the commons from exploitation by these systems.

they view the encyclopedia as a “consensus truth,” as one of them put it: It acts as a reality check in a society where facts are increasingly contested. That truth is less about data points — “How old is Joe Biden?” — than about complex events like the Covid-19 pandemic, in which facts are constantly evolving, frequently distorted and furiously... See more

It is time to find ways to manage both the open resources and the AI solutions built on top of them in a way that is more sustain -able and reduces harm

‘openness’ often enables systemic exploitation of developers’ and creators’ labor while maintaining the infrastructural and ecosystem dominance of the largest firms. In the context of high levels of corporate concentration and gatekeeping over the ingredients necessary to build AI systems, ‘open’ AI as currently operationalized is primed for... See more

Each wave of openness – universal franchise, free speech, the movement for an open web, open access content – helps to solve one set of problems and immediately focuses attention on others,