Projects
IMPROVING FAKE NEWS AI DETECTION ALGORITHMS THROUGH XAI TEHCNIQUES.
Project Poster
IMPROVING FAKE NEWS AI DETECTION ALGORITHMS THROUGH XAI TEHCNIQUES. - by Kacper Likus
Complete poster
IMPROVING FAKE NEWS AI DETECTION ALGORITHMS THROUGH XAI TEHCNIQUES. - by Kacper Likus
Technical Framework
IMPROVING FAKE NEWS AI DETECTION ALGORITHMS THROUGH XAI TEHCNIQUES. - by Kacper Likus
LIME Graphical
IMPROVING FAKE NEWS AI DETECTION ALGORITHMS THROUGH XAI TEHCNIQUES. - by Kacper Likus
SHAP Graphical
As a university student interested in the wider socio-economic landscape, it is increasingly apparent that fake news is beginning to become a larger, wider reaching issue. With advances in AI technologies, the sources of this news can be identified accurately and more efficiently than manual methods. To ensure that trust and transparency is upheld with these new AI based technologies, explainable AI (XAI) must be further focussed on. Fake news must be able to be identified accurately using logic and facts rather than “Black Box” AI predictions. XAI can help us to achieve this outcome with non-technical user accessibility.
https://www.linkedin.com/in/kacp-cm-169252329/
Type of employment sought
Machine Learning Engineer
Data Analyst, Data Scientist
Cloud Solutions Architect / DevOps Engineer
Full-Stack Developer
Software Engineer / Application Developer
AI Ethics or XAI Specialist
Areas available to work
London
England
Contact Kacper