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Found 9 papers, 2 papers with code
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms.
Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics
We experimentally show that demographic groups highly represented in popular face databases have led to popular pre-trained deep face models presenting strong algorithmic discrimination.
Human detection of machine manipulated media
Here we report on a randomized experiment designed to study the effect of exposure to media manipulations on over 15, 000 individuals' ability to discern machine-manipulated media.
Closing the AI Knowledge Gap
AI researchers employ not only the scientific method, but also methodology from mathematics and engineering.
MemeSequencer: Sparse Matching for Embedding Image Macros
The analysis of the creation, mutation, and propagation of social media content on the Internet is an essential problem in computational social science, affecting areas ranging from marketing to political mobilization.
Weather impacts expressed sentiment
We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions.
Cooperating with Machines
Here, we combine a state-of-the-art machine-learning algorithm with novel mechanisms for generating and acting on signals to produce a new learning algorithm that cooperates with people and other machines at levels that rival human cooperation in a variety of two-player repeated stochastic games.
Superintelligence cannot be contained: Lessons from Computability Theory
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds.
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity
Modeling and predicting the popularity of online content is a significant problem for the practice of information dissemination, advertising, and consumption.
Social and Information Networks
