Sökning: "Algorithmic accountability"

Hittade 4 uppsatser innehållade orden Algorithmic accountability.

  1. 1. What’s harm got to do with it? The framing of accountability and harm in the EU Artificial Intelligence Act Proposal

    Master-uppsats, Lunds universitet/Rättssociologiska institutionen

    Författare :Yasmin Omar; [2022]
    Nyckelord :artificial intelligence; European Union; regulation; accountability; harm; critical discourse analysis; Social Sciences;

    Sammanfattning : The European Union released an Artificial Intelligence (AI) regulation proposal in April 2021 aimed at laying down harmonised rules for AI circulating the Union market. The purpose of this study is to critically examine how accountability and individual, collective, and social harm was approached and framed by the proposal. LÄS MER

  3. 2. The curious case of artificial intelligence : An analysis of the relationship between the EU medical device regulations and algorithmic decision systems used within the medical domain

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Juridiska institutionen

    Författare :Pernilla Björklund; [2021]
    Nyckelord :medical device; algorithmic decision systems; ADS; MDR; medical AI;

    Sammanfattning : The healthcare sector has become a key area for the development and application of new technology and, not least, Artificial Intelligence (AI). New reports are constantly being published about how this algorithm-based technology supports or performs various medical tasks. LÄS MER

  4. 3. Bridging the gap between AI systems and society: algorithmic accountability and ethics within small AI organisations in Sweden : Is Sweden ready for AI Ethics?

    Magister-uppsats, Uppsala universitet/Industriell teknik

    Författare :Hayder Mahdi A Al Dawood; [2021]
    Nyckelord :;

    Sammanfattning : During the last years, ethics has gained greater attention in the field of Artificial Intelligence (AI). Stakeholders engage in debates on how to apply ethical principles in various AI organisations with many differing viewpoints. LÄS MER

  5. 4. Operationalizing FAccT : A Case Study at the Swedish Tax Agency

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Daniel Jansson; Daniel Strallhofer; [2020]
    Nyckelord :Fairness; Accountability; Transparency; Algorithmic accountability; Bias; Framework; Machine learning; Case study; Rättvisa; Ansvarsskyldighet; Transparens; Algoritmisk ansvarsskyldighet; Ramverk; Maskininlärning;

    Sammanfattning : Fairness, accountability and transparency (FAccT) in machine learning is an interdisciplinary area that concerns the design, development, deployment and maintenance of ethical AI and ML. Examples of research challenges in the field are detecting biased models, accountability issues that arise with systems that make decisions without human intervention or oversight, and the blackbox issues where decisions made by an AI system are untraceable. LÄS MER