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Waveform: The MKBHD Podcast
Navigating Provenance in Art and Data Sets
The complexities of provenance in the art world highlight the challenges institutions face regarding the origin of their collections. High-profile museums, particularly in New York, have been compelled to return stolen artworks after purchasing from dealers who later turned out to have questionable origins. Despite the museums' claims of reliance on reputable sources, the expectation of due diligence is not adequately met, as exemplified by instances where stolen artifacts quickly entered museums. This raises significant ethical questions surrounding ownership, especially when considering artifacts acquired under colonial circumstances. The conversation broadens to the realm of data sets integral to AI development, with parallels drawn in the necessity of transparency and responsibility. There is a demand for insight into the processes surrounding data acquisition by major tech companies, shedding light on their usage of vast repositories while grappling with ethical considerations. A push for investigative journalism could reveal how data sets are curated and the implications for AI training in companies that may lack foundational data, paralleling the art world’s need for accountability in provenance.
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