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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 ideas led to the ACTUS proposal for a data standard alongside an algorithmic standard. Together, these can describe most financial instruments through 31 contract types or modular templates. The ACTUS Financial Research Foundation and the ACTUS Users Association develop the structure to implement the ideas.
Algorithm certification involves auditing whether the algorithm used during the life cycle 1) conforms to the protocoled requirements (e.g., for correctness, completeness, consistency, and accuracy); 2) satisfies the standards, practices, and conventions; and 3) solves the right problem (e.g., correctly model physical laws), and satisfies the ...
OpenDocument also supports a set of template types. Templates represent formatting information (including styles) for documents, without the content themselves. The recommended filename extension begins with ".ot" (interpretable as short for "OpenDocument template"), with the last letter indicating what kind of template (such as "t" for text).
Algorithmic accountability refers to the allocation of responsibility for the consequences of real-world actions influenced by algorithms used in decision-making processes. [ 1 ] Ideally, algorithms should be designed to eliminate bias from their decision-making outcomes.
The letter, signed by 13 people, including current and former employees at OpenAI, Anthropic, and Alphabet Inc’s (NASDAQ:GOOG) (NASDAQ:GOOGL) Googl Open Letter For AI Companies Calls For Better ...
Algorithmic system inspections to support enforcement of the DSA. Technical tests on algorithmic systems to enhance the understanding of their functioning. Advice on procedures to secure data access to regulators and researchers. 2. Scientific research and foresight. Study of the short, mid and long-term societal impact of algorithmic systems.
The sharing of research outputs is covered by three standards of the TOPs guidelines: on Data transparency (2), Analytic/code methods transparency (3) and Research materials transparency (4). All the relevant data, code and research materials are to be stored on a "trusted repository" and all analysis being already reproduced independently ...