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  2. Algorithmic transparency - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_transparency

    Algorithmic transparency is the principle that the factors that influence the decisions made by algorithms should be visible, or transparent, to the people who use, regulate, and are affected by systems that employ those algorithms.

  3. European Centre for Algorithmic Transparency - Wikipedia

    en.wikipedia.org/wiki/European_Centre_for...

    Development of practical methodologies towards fair, transparent and accountable algorithmic approaches, with a focus on recommender systems and information retrieval. 3. Networking and community building. Sharing of knowledge and facilitation of discussions on algorithmic transparency with international stakeholders.

  4. ACM Conference on Fairness, Accountability, and Transparency

    en.wikipedia.org/wiki/ACM_Conference_on_Fairness...

    ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT, formerly known as ACM FAT*) is a peer-reviewed academic conference series about ethics and computing systems. [1] Sponsored by the Association for Computing Machinery , this conference focuses on issues such as algorithmic transparency , fairness in machine learning , bias ...

  5. Algorithmic accountability - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_accountability

    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.

  6. Right to explanation - Wikipedia

    en.wikipedia.org/wiki/Right_to_explanation

    They also state that the right of explanation in the GDPR is narrowly-defined, and is not compatible with how modern machine learning technologies are being developed. With these limitations, defining transparency within the context of algorithmic accountability remains a problem. For example, providing the source code of algorithms may not be ...

  7. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    In summary, Interpretability refers to the user's ability to understand model outputs, while Model Transparency includes Simulatability (reproducibility of predictions), Decomposability (intuitive explanations for parameters), and Algorithmic Transparency (explaining how algorithms work).

  8. Transparency/Consu mer Friendliness ! Create a uniform, efficient system to submit health claims52 No information found No information found No information found No information found Information Technology (IT) ! Facilitate transition to secure electronic medical records53! Create a uniform, efficient system to submit health claims54! Use IT ...

  9. The Black Box Society - Wikipedia

    en.wikipedia.org/wiki/The_Black_Box_Society

    In academic discourse, the usage of the term “black box” dates back to at least 1963 with Mario Bunge's work on a black box theory in mathematics. [18]The term “black box,” as used throughout The Black Box Society by author and law professor, Frank Pasquale, is a dual metaphor for a recording device such as a data-monitoring system and for a system whose inner workings are secret or ...