Recognizing the Standard Discrimination in Datasets
<p>Much of the public discourse about tech originally focused on how the outcomes of tech tools, e.g., software, affected people. Then, the conversation turned to algorithms and how they are designed to be exclusionary. Now, we’re having more conscious discussions about the data, both input and output, of these algorithms and how data is processed in digital systems. We’ve grappled, however, with how to handle the multifaceted influences of data outcomes. As society has leaned into globalization, the pressure to scale algorithmic approaches and be computational efficient has made all of us irrevocably bonded to collected, digitized data. It’s like all truths are contained within the digital walls around collected data.</p>
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