Machine-generated text is increasingly difficult to distinguish from text authored by humans.
Powerful open-source models are freely available, and user-friendly tools that democratize …

Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …

We introduce four principles for explainable artificial intelligence (AI) that comprise
fundamental properties for explainable AI systems. We propose that explainable AI systems …

Facial recognition technology (FRT) has emerged as a powerful tool for public governance
and security, but its rapid adoption has also raised significant concerns about privacy, civil …

Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …

Face masks present a new challenge to face identification (here matching) and emotion
recognition in Western cultures. Here, we present the results of three experiments that test …

The recent emergence of machine-manipulated media raises an important societal question:
How can we know whether a video that we watch is real or fake? In two online studies with …

EXECUTIVE SUMMARY OVERVIEW This is the third in a series of reports on ongoing face
recognition vendor tests (FRVT) executed by the National Institute of Standards and …

Previous generations of face recognition algorithms differ in accuracy for images of different
races (race bias). Here, we present the possible underlying factors (data-driven and …

Artificial vision has often been described as one of the key remaining challenges to be
solved before machines can act intelligently. Recent developments in a branch of machine …