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How is your pet feeling? It’s a question many owners have asked themselves as they ponder their animal’s daily rituals and moods. Now, an Italy-based researcher has developed an AI system that he says can detect whether animal calls express positive or negative emotions.
Shelley Brady, from Dublin City University, says the implications could be very important. For example, it could allow conservationists to monitor the emotional health of wild populations remotely. However, the research raises ethical questions. If an algorithm shows that an animal is in distress, what responsibility do humans have to take action?
The findings are part of a growing body of research seeking to interpret animal emotions. Several studies in dogs have linked facial expressions, vocalizations and tail-wagging patterns with emotional states. All this data could be used to feed more complex algorithms, helping us decode signals that evolution honed long before humans even existed.
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Shelley Brady, Dublin City University
The surprising ways in which machine learning is decoding the animal mind.
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Naomi S. Baron, American University
Even before generative AI went mainstream, fewer people were reading books.
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German Reyes, Middlebury
Survey shows students rapidly picked up chatbots, but perhaps surprisingly, they more often used it to augment their learning, rather than hand work off.
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Mark Daley, Western University; Carson Johnston, Western University
Attributing human characteristics to artificial intelligence is more harmful than beneficial.
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Hamza Tariq, University of Waterloo
When technological innovations are first launched, they disrupt engrained ways of doing things. But after a while, the discomfort and mistrust start to shift.
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