Unlike the “narrow AI” systems that TESCREALists lamented the field of AI was focused on, attempting to build something akin to an everything machine results in systems that are unscoped and therefore inherently unsafe, as one cannot design…Mehtab Khan and Alex Hanna, 2022. “The subjects and stages of AI dataset development: A framework for dataset accountability,” SSRN (13 September). doi: https://dx.doi.org/10.2139/ssrn.4217148, accessed 31 January 2024.
Raffi Khatchadouria…
Heidy Khlaaf
engineer · 2 mentions across 1 reading
In this course
Khlaaf appears in the readings primarily in fragmented form, with the excerpts provided offering limited direct engagement with their work. The second excerpt cites a 2022 paper by Khan and Hanna on dataset accountability and AI development stages, suggesting Khlaaf's concern lies in the governance and transparency of machine learning systems at their foundational stage. Without more substantive excerpts, it's difficult to pinpoint precisely how Khlaaf's argument functions within the seminar's broader examination of AI's societal risks and the epistemological problems of unscoped systems.
Mentioned in 1 reading
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