AI companion bots are reshaping how people connect, confide, and cope, with children and adolescents among their most active users. Even as evidence of their potential social and developmental harms grows, these products face limited regulatory oversight. On May 26, the Center for Universal Education at Brookings will host an online conversation on whether AI companion bots should be governed as a product with public health implications. Get more information and register here.

In 2024, information systems Ph.D. student Ommo Clark penned an opinion piece for BusinessDay Nigeria exploring why many Nigerians diagnose and treat their medical conditions themselves, often turning to unreliable online information.

While the essay was inspired by firsthand experiences in her native country, the impulse to consult “Dr. Google” is a worrying global trend, Clark says, and one that has motivated her Ph.D. work. It’s unlikely that people will stop going online with health questions, so Clark is researching ways that AI could help patients, healthcare providers, public health officials, and content platforms better understand and evaluate the sea of medically related content on the Internet.

Ommo’s efforts were recently recognized when one of her research papers, co-authored with information systems professor Karuna Joshi, won the Best Student Paper Award at the IEEE International Conference on Digital Health 2025, held in July in Helsinki, Finland. The paper, titled “Real-Time Detection of Online Health Misinformation using an Integrated Knowledgegraph-LLM Approach,” describes the results of combining two types of AI approaches to tackle the problem of identifying online health misinformation.

Read more about their work in this UMBC News article.

The performance in June during the Movement, Music, and Brain Health NSF AccelNet meeting at UMBC was the brainchild of three UMBC faculty who have joined forces to explore whether and how dancing robots might offer humans new tools to improve their mental health. The research piggybacks off established practices of human-to-human dance/movement therapy, which can be used to treat some mental health challenges, such as schizophrenia, anxiety and depression. 

The form that robotic dance therapy might take, and the range of mental health conditions it could treat, are still large open-ended questions for the team, which includes UMBC faculty Ramana Vinjamuri (CSEE), Andrea Kleinsmith (IS), and Ann Sofie Clemmensen (Dance).

Read more about this project in this article on UMBC News.