Nettsider med emneord «Artificial intelligence»
Are you intrigued by the fusion of education and cutting-edge technology? Do you envision a future where each student gets the unique educational attention they deserve, powered by the limitless potential of AI? I am on a quest to explore and push the boundaries of adaptive learning systems, and I believe that fresh perspectives and passionate minds are the key to breakthroughs. If you're driven by curiosity, innovation, and a desire to shape the future of education, I urge you to reach out. Let's collaborate, discuss, and embark on a journey where we develop a Master's thesis that not only aligns with your passion but also stands to revolutionize the world of learning technology. The future of education beckons; let's shape it together!
Biases, in general, describe errors in decision making. A number of cognitive biases have been identified in the area of human decision making (see, e.g., here, here, and here). In the context of Artificial Intelligence, algorithmic biases have become more and more relevant for data-driven decision (see, e.g., here).
The aim of this thesis is to categorize, organize, and interrelate various types of biases (both cognitive and algorithmic) by developing a formal ontology for cognitive and algorithmic biases. Furthermore, this ontology will be used as a foundation for the development of a system for bias management whose aim would be to help identify biases in decision making in a more automated way.
Oppgaven utføres i samarbeid med Forsvarets forskningsinstitutt (FFI) på Kjeller.
Signal processing, image analysis, and machine learning for applications in medical imaging, sonar, seismics, and remote sensing.
The SANT project develops resources for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group (LTG) at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.
Please read more in the Norwegian project page.
Our goal is to contribute to the development of ever more intelligent systems. This can be systems that in specific tasks or environments can assist or replace human judgment, or it can be systems that can accomplish tasks we would like to automate.
