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Dr Franziska Kiki Leutner

Kiki specialises in Individual Differences and Computational Psychometrics, and their application in industry.

Staff details

Dr Franziska Kiki Leutner

Position

Lecturer in Occupational Psychology

School

Creative Management

Subject

Business, Management, Marketing

Email

Contact Franziska Leutner

Website

Twitter

Kiki is a Business Psychologist and Data Scientist, combining psychological theory with machine learning methodology. Her fundamental interests are in computational psychometrics and the ethical application of algorithms in behavioural analytics, game-based assessment, consumer psychology, personal values, social media psychology, and entrepreneurship.

Kiki works both in academic and industry settings consulting to global organisations including HireVue, Red Bull, Admiral, and Dunnhumby, and working with startups that are driving innovation in psychometrics.

She is a Chartered Psychologist of the British Psychological Society (BPS) and a member of the Society for Industrial and Organizational Psychology in the United States (SIOP).

 

Publications and research outputs

Article

  • Koshiyama, Adriano; Kazim, Emre; Treleaven, Philip; Rai, Pete; Szpruch, Lukasz; Pavey, Giles; Ahamat, Ghazi; Leutner, Franziska; Goebel, Randy; Knight, Andrew; Adams, Janet; Hitrova, Christina; Barnett, Jeremy; Nachev, Parashkev; Barber, David; Chamorro-Premuzic, Tomas; Klemmer, Konstantin; Gregorovic, Miro; Khan, Shakeel; Lomas, Elizabeth; Hilliard, Airlie and Chatterjee, Siddhant. 2024. Towards algorithm auditing: managing legal, ethical and technological risks of AI, ML and associated algorithms. Royal Society Open Science, 11(5), 230859. ISSN 2054-5703
  • Leutner, Franziska; Codreanu, Sonia-Cristina; Brink, Suzanne and Bitsakis, Theodoros. 2023. Game based assessments of cognitive ability in recruitment: Validity, fairness and test-taking experience. Frontiers in Psychology, 13, 942662. ISSN 1664-1078
  • Hilliard, Airlie; Kazim, Emre; Bitsakis, Theodoros and Leutner, Franziska. 2022. Scoring a forced-choice image-based assessment of personality: A comparison of machine learning, regression, and summative approaches. Acta Psychologica, 228, 103659. ISSN 0001-6918

Research Interests

  • Talent Management
  • Assessment and Selection
  • Individual Differences, Personality and Intelligence
  • Fairness and Ethics of AI in HR
  • Computational Psychometrics
  • Game Based Assessments
  • Video Assessments
  • Natural Language Processing and Personality
  • Personal Values and Consumer Individual Differences

If you are interested in a PhD in any of these areas, please get in touch at f.leutner@gold.ac.uk