Researchers Say AI Has Learned to Recognize Human Emotion
Researchers Say AI Has Learned to Recognize Human Emotion:
Researchers Say AI Has Learned to Recognize Human Emotion:
Researchers
have developed an AI algorithm capable of recognizing emotions in works
of art, taking a step toward creating machines with emotional
intelligence.
The
study was conducted by researchers at the Stanford Institute for
Human-Centered Artificial Intelligence and in France and Saudi Arabia.
It focused on teaching computers not only to identify objects within
images but also to understand how those images evoke emotional responses in people.
This technology could lead to future systems that see and interpret emotions much more deeply than current technologies.
The
researchers chose art as the focus for their study because artists aim
to elicit specific emotional reactions in viewers. The algorithm can
classify artworks into one of eight emotional categories, including awe,
amusement, fear, and sadness.
It
goes beyond identifying the overall mood of a painting by pinpointing
differing emotions within the same image. Additionally, the AI generates
written captions that accurately describe the painting’s content and
justify the emotional read.
To
train the AI, the researchers created a new dataset called Artemis,
which includes 81,000 paintings found online and 440,000 emotional
responses from over 6,500 participants. These responses describe how the
artworks made viewers feel and include explanations for their emotional
choices. The AI uses this data to train neural speakers—neural networks
that generate written responses to visual art.
These
neural speakers express the emotions a painting evokes and explain the
reasoning behind those emotions in natural language.
Researchers
believe that this technology could serve as a tool for artists, helping
them evaluate their works and refine their creative process.
Beyond
art, the project has broader implications, potentially bridging the gap
between human psychology and artificial intelligence by enabling
machines to understand emotions more deeply and communicate with
emotional nuance
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