{"id":919,"date":"2026-09-07T05:39:49","date_gmt":"2026-09-07T05:39:49","guid":{"rendered":"https:\/\/sebertech.com\/news\/?p=919"},"modified":"2026-09-07T05:39:50","modified_gmt":"2026-09-07T05:39:50","slug":"ai-is-learning-to-understand-animals-but-scientists-say-privacy-questions-come-first","status":"publish","type":"post","link":"https:\/\/sebertech.com\/news\/2026\/09\/07\/ai-is-learning-to-understand-animals-but-scientists-say-privacy-questions-come-first\/","title":{"rendered":"AI Is Learning to Understand Animals, but Scientists Say Privacy Questions Come First"},"content":{"rendered":"\n

AI is getting better at studying animal communication, but scientists say the bigger question may be how far humans should go once these tools become more powerful.<\/em><\/strong><\/p>\n\n\n\n

\"AI<\/figure>\n\n\n\n

Researchers are using artificial intelligence to study animal calls, identify patterns and, in some cases, recognize individual animals by sound. The technology could help scientists understand how animals communicate, form social groups and respond to their environment.<\/p>\n\n\n\n

But despite growing excitement, humans still cannot reliably translate animal communication into language or hold a true conversation with another species. <\/p>\n\n\n\n

Researchers are also starting to ask whether advanced AI tools could interfere with animals\u2019 privacy, behavior or social lives.<\/p>\n\n\n\n

Can AI Really Talk to Animals Yet?<\/h2>\n\n\n\n

For now, the answer is No. <\/strong><\/p>\n\n\n\n

AI can help scientists analyze animal sounds, but there is still no proven system that can reliably translate animal communication into human language and support a real two-way conversation.<\/strong><\/p>\n\n\n\n

Researchers Marriah Alcantara and Kristin Andrews made that point in a peer-reviewed paper published in Topoi<\/em> on April 4, 2026. They said science is still far from creating a working translation system for any non-human species.<\/p>\n\n\n\n

Two-way communication would be even more difficult because researchers would need to understand not only what an animal signal means, but also how to respond in a way the animal understands.<\/p>\n\n\n\n

Still, progress in this field is moving quickly.<\/p>\n\n\n\n

Groups including Earth Species Project and Project CETI are using machine learning to study large collections of animal sounds. Project CETI focuses on sperm whale communication, while Earth Species Project develops AI tools designed to study communication across different species.<\/p>\n\n\n\n

AI Can Already Recognize Individual Animals<\/h2>\n\n\n\n

One of the most interesting developments is that AI does not always need to understand a call before it can identify who made it.<\/p>\n\n\n\n

Earth Species Project reported in 2026 that researchers used its BirdAVES model to help recognize individual wild zebra finches from their vocalizations.<\/p>\n\n\n\n

The research involved recordings from 173 birds.<\/p>\n\n\n\n

That could help scientists learn which animals are communicating, how often they interact and how information moves through a group.<\/p>\n\n\n\n

It may also create new ethical questions.<\/p>\n\n\n\n

If AI can recognize individual animals and track their communication over time, researchers could learn details about their location, relationships and behavior without fully understanding what they are saying.<\/p>\n\n\n\n

Why Are Scientists Talking About Animal Privacy?<\/h2>\n\n\n\n

Animals do not currently have a general legal right to privacy like humans do.<\/p>\n\n\n\n

The concern is mainly ethical.<\/p>\n\n\n\n

Alcantara and Andrews argue that some animals appear to control what information they reveal depending on who is nearby. Certain birds, for example, may change their behavior when other animals are watching or listening.<\/p>\n\n\n\n

That raises a new question for researchers.<\/p>\n\n\n\n

If animals naturally limit who can observe certain behaviors or signals, should humans use AI to monitor those interactions without limits?<\/p>\n\n\n\n

The researchers are not saying scientists should stop studying animals. Instead, they argue that privacy and welfare should become part of the discussion as AI makes animal monitoring more powerful.<\/p>\n\n\n\n

Could AI-Generated Animal Calls Cause Problems?<\/h2>\n\n\n\n

Another concern involves playing artificial animal sounds back to animals.<\/p>\n\n\n\n

Scientists have used playback experiments for years. These studies usually involve playing recorded calls and observing how animals respond.<\/p>\n\n\n\n

AI could make it possible to create entirely new animal-like sounds.<\/p>\n\n\n\n

That could be useful for research, but it also creates risk if scientists do not fully understand what those sounds mean.<\/p>\n\n\n\n

An AI-generated call could accidentally be interpreted as a warning, a territorial challenge or another important social signal. That could cause stress or change how animals behave toward one another.<\/p>\n\n\n\n

This is why some researchers say AI-generated communication should be tested carefully.<\/p>\n\n\n\n

How Close Are Scientists to a Major Breakthrough?<\/h2>\n\n\n\n

There is enough progress to attract serious funding.<\/p>\n\n\n\n

The Jeremy Coller Foundation and Tel Aviv University run the Coller Dolittle Challenge, which supports research into two-way communication with non-human species.<\/p>\n\n\n\n

In June 2026, the challenge awarded a $100,000 prize to Dr. Julie E. Elie for research involving zebra finch calls.<\/p>\n\n\n\n

The competition also offers a much larger reward for a true communication breakthrough. A qualifying team could receive either a $10 million equity investment or $500,000 in cash.<\/p>\n\n\n\n

That does not mean animal translation has already been solved. It shows how much interest there is in reaching that goal.<\/p>\n\n\n\n

Why This Matters Before AI Can Translate Animals<\/h2>\n\n\n\n

AI could give scientists better tools for conservation, animal welfare and behavioral research.<\/p>\n\n\n\n

It could also allow humans to observe parts of animal life that were once difficult to study.<\/p>\n\n\n\n

That makes the privacy debate important even before anyone builds a real animal translator.<\/p>\n\n\n\n

The key question is no longer only when humans will be able to talk with animals.<\/p>\n\n\n\n

It is also how much we should listen once AI makes that possible.<\/p>\n\n\n\n

Sources:<\/h3>\n\n\n\n
    \n
  • Springer Nature \/ Topoi:<\/strong> Marriah Alcantara and Kristin Andrews, research on the ethics of using machine learning to study animal communication, published April 4, 2026.<\/li>\n\n\n\n
  • Earth Species Project:<\/strong> Research on AI recognition of individual zebra finches and machine learning tools for animal communication.<\/li>\n\n\n\n
  • Jeremy Coller Foundation:<\/strong> 2026 Coller Dolittle Prize announcement and challenge information.<\/li>\n\n\n\n
  • Original report:<\/strong> New York Post, September 6, 2026.<\/li>\n<\/ul>\n\n\n\n

    Written by Liam Hisona<\/strong><\/p>\n\n\n\n

    Published: September 7, 2026<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

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