Displaying 264 resources
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e-Symposium 2023: Algorithmic auditing of political biases in recommender systems

External independent and unobtrusive algorithmic audits offer a fresh perspective for understanding AI-based algorithms used in social media and search engines.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

e-Symposium 2023: Depoliticising Social Media? The Politics of State-Sponsored, Election-related Disinformation Studies

The talk discusses the disinformation study undertaken by the author and commissioned by the Dutch Ministry of Internal Affairs, published in 2020. It introduces the context of the concern for ‘fake news’ in Europe after the U.S.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

e-Symposium 2023: Crowding Out the Truth? A Simple Model of Misinformation, Polarization, and Meaningful Social Interactions

This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

AI Studies Survey

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Case studies Case studies
White paper White paper

The Silent (R)evolution of SAT

The Propositional Satisfiability problem (SAT) was the first to be shown NP-complete by Cook and Levin. SAT remained the embodiment of theoretical worst-case hardness.

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Case studies Case studies
White paper White paper

Algorithms for manifold learning

The technical report presents popular methods for mapping data into a low-dimensional manifold (nonlinear dimensionality reduction).

Category
Systems, methodologies, hardware, and tools
Source
AI-OnDemand