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We've been talking about "black boxes" a lot; we put our data into computer programs whose code is not comprehensible to us as users, and it spits out information. I find this idea overwhelming and unreliable. How can I believe the information these programs give me when I can't understand how that information was produced? Yet, we talk about DH and its tools as democratizing, more accessible to individuals outside the high walls of academia.

While I stand by the tenets of open access and non-proprietary tools, it still feels like DH is far from accessible to a layperson, or likely even talented academics. How do we fix this? Are we just waiting for everyone to learn how to code? Does everyone need to learn how to code? Further, what is the point of open access scholarship and DH tools if the only people who appear (I think?) to be using them are academics anyway?