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Due to the lack of consistent terminology, research transparency has frequently been defined negatively by addressing non-transparent usages (which are part of questionable research practices). After 2010, recurrent issues of research methodology have been increasingly acknowledged as structural crisis, that involve deep changes at all stages ...
The phrases "algorithmic transparency" and "algorithmic accountability" [2] are sometimes used interchangeably – especially since they were coined by the same people – but they have subtly different meanings. Specifically, "algorithmic transparency" states that the inputs to the algorithm and the algorithm's use itself must be known, but ...
These tools aim to ensure that the system operates in accordance with ethical and legal standards, and that its decision-making processes are transparent and accountable. The term "glass box" is often used in contrast to "black box" systems, which lack transparency and can be more difficult to monitor and regulate. [36]
Panelist Cassidy Catalano, a theatre major, expressed frustration with the college’s lack of transparency. Catalano is transgender, and she said the changes have been demoralizing, especially ...
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However, this approach doesn't necessarily produce the intended effects. Companies and organizations can share all possible documentation and code, but this does not establish transparency if the audience doesn't understand the information given. Therefore, the role of an interested critical audience is worth exploring in relation to transparency.
There are few markets that require the level of privacy, honesty, and trust between its participants as the Forex market.This creates great obstacles for traders, investors, and institutions to overcome as there is a lack of transparency, leading to the need to develop trust with trading partners and developing these relationships through social means, such as "gifts of information", which is ...
There is also the lack of transparency and privacy regarding companies who collect and share their user's data. [3] This is a critical issue with both the trust and belief of the data and its uses. [1] Many social networks have argued that their users forfeit part of their privacy in order to provide their service for free. [1]