Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

For decades, Google has publicly maintained that its search algorithms operate without ideological bias. Company executives ...

This study analyzes urban issues by examining people's social media responses. The government requires public feedback to assess its performance in addressing these issues. The study employs a ...

The performance of these algorithms is proven by nature in every aspect. This paper briefs about the existing BIAs based Machine Learning (ML), Deep Learning (DL) models in healthcare, its application ...

At its core, algorithmic journalism uses data analysis and machine learning tools to automate parts of news production. These ...

Accurate facial expression recognition (FER) systems are critical for many applications, including human- computer interaction, emotion analysis, and healthcare. This study uses the CK+ dataset, which ...

Lung cancer is one among critical diseases and numerous people are suffering from this disease. Lung cancer is not only caused by smoking cigarettes, pipes or cigars; other risk factors include ...