no code implementations • 24 Jan 2024 • Vibeke Binz Vallevik, Aleksandar Babic, Serena Elizabeth Marshall, Severin Elvatun, Helga Brøgger, Sharmini Alagaratnam, Bjørn Edwin, Narasimha Raghavan Veeraragavan, Anne Kjersti Befring, Jan Franz Nygård
We present a conceptual framework for quality assurance of SD for AI applications in healthcare that aligns diverging taxonomies, expands on common quality dimensions to include the dimensions of Fairness and Carbon footprint, and proposes stages necessary to support real-life applications.
no code implementations • 5 Oct 2023 • Tita A. Bach, Jenny K. Kristiansen, Aleksandar Babic, Alon Jacovi
We divided our investigation into the following research areas: (1) terms used to describe HAII, (2) primary roles of AI-enabled systems, (3) factors that influence HAII, and (4) how HAII is measured.
no code implementations • 6 Nov 2019 • Andrew Gilbert, Marit Holden, Line Eikvil, Mariia Rakhmail, Aleksandar Babic, Svein Arne Aase, Eigil Samset, Kristin McLeod
We analyze example images that fall outside of our proposed classes to show our confidence metric can prevent many misclassifications.