activity
20202026
most citedThe Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing

12 citations · 20 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2026

"Always Want to Use it for Everything": Understanding Young Adults' Perceptions of AI Dependence

Ashlee Milton, Leah Ajmani, Amy Heger +3

The growing integration of general-purpose AI chatbots into people's daily lives has raised concerns about the potential for unhealthy dependence, particularly among young adults.…

cs.HC2026★ 1 cited

Unraveling Entangled Feeds: Rethinking Social Media Design to Enhance User Well-being

Ashlee Milton, Dan Runningen, Loren Terveen +2

Social media platforms have rapidly adopted algorithmic curation with little consideration for the potential harm to users' mental well-being. We present findings from design works…

cs.HC2025

"I'm Petting the Laptop, Which Has You Inside It": Reflecting on Lived Experiences of Online Friendship

Seraphina Yong, Ashlee Milton, Evan Suma Rosenberg +2

Online(-only) friendships have become increasingly common in daily lives post-COVID despite debates around their mental health benefits and equivalence to ''real'' relationships. P…

cs.HC2024★ 12 cited

The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing

Alice Qian Zhang, Ryland Shaw, Jacy Reese Anthis +9

Rapid progress in general-purpose AI has sparked significant interest in "red teaming," a practice of adversarial testing originating in military and cybersecurity applications. AI…

cs.IR2022★ 1 cited

The Users Aren't Alright: Dangerous Mental Illness Behaviors and Recommendations

Ashlee Milton, Stevie Chancellor

In this paper, we argue that recommendation systems are in a unique position to propagate dangerous and cruel behaviors to people with mental illnesses.

cs.IR2021★ 2 cited

To Infinity and Beyond! Accessibility is the Future for Kids' Search Engines

Ashlee Milton, Garrett Allen, Maria Soledad Pera

Research in the area of search engines for children remains in its infancy. Seminal works have studied how children use mainstream search engines, as well as how to design and eval…

cs.IR2021★ 2 cited

Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations

Amifa Raj, Ashlee Milton, Michael D. Ekstrand

In this position paper, we argue for the need to investigate if and how gender stereotypes manifest in search and recommender systems.As a starting point, we particularly focus on…

cs.IR2020★ 2 cited

Evaluating Information Retrieval Systems for Kids

Ashlee Milton, Maria Soledad Pera

Evaluation of information retrieval systems (IRS) is a prominent topic among information retrieval researchers--mainly directed at a general population. Children require unique IRS…