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Franziska Leutner
Researcher at University College London
Publications - 18
Citations - 516
Franziska Leutner is an academic researcher from University College London. The author has contributed to research in topics: Personality & Computer science. The author has an hindex of 5, co-authored 6 publications receiving 389 citations. Previous affiliations of Franziska Leutner include Goldsmiths, University of London.
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The relationship between the entrepreneurial personality and the Big Five personality traits
TL;DR: Ahmetoglu et al. as discussed by the authors examined the relationship between the Big Five personality traits and a wider range of entrepreneurial outcomes (e.g., founding charitable organizations, organizing events, and changing organisational practices).
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EQ-nomics: Understanding the relationship between individual differences in Trait Emotional Intelligence and entrepreneurship
TL;DR: In this paper, the authors examined whether trait EI predicts entrepreneurship and whether any effects of EI on entrepreneurship are independent of the personality trait of Core Self-Evaluations, demographic variables, and individual differences in entrepreneurial personality.
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Towards Algorithm Auditing: A Survey on Managing Legal, Ethical and Technological Risks of AI, ML and Associated Algorithms
Adriano Koshiyama,Emre Kazim,Philip Treleaven,Pete Rai,Lukasz Szpruch,Giles Pavey,Ghazi Ahamat,Franziska Leutner,Randy Goebel,Andrew Knight,Janet Adams,Christina Hitrova,Jeremy Barnett,Parashkev Nachev,David Barber,Tomas Chamorro-Premuzic,Konstantin Klemmer,Miro Gregorovic,Shakeel A. Khan,Elizabeth Lomas +19 more
TL;DR: The goal in this paper is to survey the key areas necessary to perform auditing and assurance, and instigate the debate in this novel area of research and practice, and to inform those interested in systems of governance and compliance to regulation/standards.
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From Likert scales to images: validating a novel creativity measure with image based response scales
TL;DR: In this paper, the authors developed a novel image-based creativity measure, where images replace conventional response scales, and scores on the measures were obtained using a linear regression scoring algorithm to predict three self-reported creativity measures.
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Stronger Together: Personality, Intelligence and the Assessment of Career Potential.
TL;DR: The value of personality and intelligence to understand individual differences in career potential is discussed, and how to increase the adoption of theories and tools for evaluating Personality and intelligence in real-world organizational contexts is discussed.