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  1. 21 de jul. de 2022 · As a middle-out process, digital phenomena exist in the environment, and result in increasing uncertainty (uncertainty 2) to which individuals and institutions have to adapt through dialogue. Learning occurs within this dialogical adaptation—not focused on technology itself, but on the uncertainty it generates.

  2. We argue that justified belief is subject to certain epistemic responsibilities that accompany the subject's particular decision-taking circumstances, and that one typical responsibility is to ascertain, so far as one can, whether the information upon which the judgment will rest is biased or incomplete.

  3. 1 de jul. de 2023 · Our findings highlight three potential mechanisms that indicate how organizations with similar characteristics (e.g., similar digital maturity, socioeconomic background, and subject to policy regulations) can deal with uncertainty via exploring the spectrum of functionalities within existing digital technologies and exploiting their ...

  4. 28 de ago. de 2020 · Within a broader perspective, Horsman’s diagnosis that the field of digital forensic science ‘‘diverges from other forensic-sub disciplines [sic]’’ [p. 2] and, in effect, digital evidence practitioners do not need to quantify their uncertainty, can be seen as a form of intellectual exceptionalism.

  5. 1 de jun. de 2023 · Embracing uncertainty and probabilistic thinking are now central to design challenges. • A data-enabled design approach counter-intuitively often unearths complexity and provokes uncertainty. • Datasets are effective boundary objects capable of supporting multidisciplinary collaboration.

  6. 13 de may. de 2020 · In contrast, digital platforms exhibit a novel form of uncertainty, namely, ontological uncertainty: even with full information and overview, it cannot be foreseen what users or developers will do with digital platforms. Hence, predictions about which values are affected might not hold.

  7. 3 de nov. de 2020 · 3rd November 2020 by Forensic Focus. Recently, we reported on two papers that described ways to reduce the risk of mistaken interpretations of digital evidence. Evaluating the uncertainty of evidence, the authors wrote, could bring more structure — and trust — to digital forensics.

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