Animal Computer Interaction

Ekaterina (Kat) Filadova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest movements" can paradoxically he ...  Show more

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Show more

A hardware revolution in recording devices and a software revolution in artificial intelligence has convinced some scientists that humans will eventually be able to ‘translate’ animal and even plant sounds into human language. But what would be the consequences of humans learn ...

Whenever I'm out doing field work or on a hike, I’ve not only got my eyes wide open, but my ears too. There’s a lot going on in a forest or under the sea - the sounds of nature. So many of those sounds in nature are about communication.

Personally, I love to chat with ra ...

Despite our serious concerns about the pace of deployment of generative artificial intelligence, we are not anti-AI. There are uses that can help us better understand ourselves and the world around us. Your Undivided Attention co-host Aza Raskin is also co-founder of Earth Specie ...  Show more

A hardware revolution in recording devices and a software revolution in artificial intelligence is enabling researchers to listen in to all kinds of conversations outside the human hearing range, a field known as bioacoustics. Some scientists now believe these developments wil ...