85. Timnit Gebru Looks at Corporate AI and Sees a Lot of Bad Science
Reimagining the Internet
Addressing Harmful AI with Lessons from Archive Strategies
This chapter explores how thinking like archivists can help mitigate the harms of AI, highlighting the importance of understanding the underlying data and its representation. It discusses issues like colonialism and racism in data collection, and emphasizes the need for conscious decision-making in building AI tools.
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