Essays about: "algorithmic bias"

Showing result 11 - 14 of 14 essays containing the words algorithmic bias.

  1. 11. AI as Gatekeepers to the Job Market : A Critical Reading of; Performance, Bias, and Coded Gaze in Recruitment Chatbots

    University essay from Linköpings universitet/Tema Genus

    Author : Karin Victorin; [2021]
    Keywords : data feminism; digital discrimination; AI recruitment; chatbots; facial recognition; AFEA; hiring tools; feminist technoscience studies; intersectionality; coded gaze; hiring bots; social robots; performance; AI technology ethics; theatre and AI; Augusto Boal; posthumanism; Donna Haraway; Karen Barad;

    Abstract : The topic of this thesis is AI recruitment chatbots, digital discrimination, and data feminism (D´Ignazio and F.Klein 2020), where I aim to critically analyze issues of bias in these types of human-machine interaction technologies. READ MORE

  3. 12. Operationalizing FAccT : A Case Study at the Swedish Tax Agency

    University essay from KTH/Skolan för industriell teknik och management (ITM)

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

    Abstract : 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. READ MORE

  4. 13. Mitigating algorithmic bias in Artificial Intelligence systems

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Johanna Fyrvald; [2019]
    Keywords : Artificial Intelligence; AI; algorithmic bias; disruptive technology;

    Abstract : Artificial Intelligence (AI) systems are increasingly used in society to make decisions that can have direct implications on human lives; credit risk assessments, employment decisions and criminal suspects predictions. As public attention has been drawn towards examples of discriminating and biased AI systems, concerns have been raised about the fairness of these systems. READ MORE

  5. 14. Supervised Classification Leveraging Refined Unlabeled Data

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska fakulteten

    Author : Andreea Bocancea; [2015]
    Keywords : Semi-supervised learning; supervised; active learning; unlabeled; TSVM; graph-based;

    Abstract : This thesis focuses on how unlabeled data can improve supervised learning classi-fiers in all contexts, for both scarce to abundant label situations. This is meant toaddress the limitations within supervised learning with regards to label availability. READ MORE