Mattea Sim
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View article: Biased AI Outputs Can Impact Humans’ Implicit Bias: A Case Study of the Impact of Gender-Biased Text-to-Image Generators
Biased AI Outputs Can Impact Humans’ Implicit Bias: A Case Study of the Impact of Gender-Biased Text-to-Image Generators Open
A wave of recent work demonstrates that text-to-image generators (i.e., t2i) can perpetuate and amplify stereotypes about social groups. This research asks: what are the implications of biased t2i for humans who interact with these systems…
View article: No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy
No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy Open
Despite bias in artificial intelligence (AI) being a risk of their use in hiring systems, there is no large-scale empirical investigation of the impacts of these biases on hiring decisions made collaboratively between people and AI systems…
View article: No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy
No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy Open
In this study, we conduct a resume-screening experiment (N=528) where people collaborate with simulated AI models exhibiting race-based preferences (bias) to evaluate candidates for 16 high and low status occupations. Simulated AI bias app…
View article: Unencrypted Flying Objects: Security Lessons from University Small Satellite Developers and Their Code
Unencrypted Flying Objects: Security Lessons from University Small Satellite Developers and Their Code Open
Satellites face a multitude of security risks that set them apart from hardware on Earth. Small satellites may face additional challenges, as they are often developed on a budget and by amateur organizations or universities that do not con…
View article: To Reveal or Conceal: Privacy and Marginalization in Avatars
To Reveal or Conceal: Privacy and Marginalization in Avatars Open
The present and future transition of lives and activities into virtual worlds --- worlds in which people interact using avatars --- creates novel privacy challenges and opportunities. Avatars present an opportunity for people to control th…
View article: Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis Algorithms
Face the Facts: Using Face Averaging to Visualize Gender-by-Race Bias in Facial Analysis Algorithms Open
We applied techniques from psychology --- typically used to visualize human bias --- to facial analysis systems, providing novel approaches for diagnosing and communicating algorithmic bias. First, we aggregated a diverse corpus of human f…
View article: Over Fences and Into Yards: Privacy Threats and Concerns of Commercial Satellites
Over Fences and Into Yards: Privacy Threats and Concerns of Commercial Satellites Open
Commercial satellite imaging is used for diverse applications in a wide range of sectors, from agriculture to the military. As satellite images continue to become more widely available and detailed in resolution, the potential for individu…
View article: Decoding complex emotions and humanization show related face processing effects.
Decoding complex emotions and humanization show related face processing effects. Open
Inferring others' complex emotions is central to ascribing humanness to others. However, little past research has investigated the perceptual processes linking the inference of complex emotions to judging others' humanness. To this end, we…
View article: Good Cop, Bad Cop: Race-Based Differences in Mental Representations of Police
Good Cop, Bad Cop: Race-Based Differences in Mental Representations of Police Open
The current work investigates race-based biases in conceptualization of the facial appearance of police. We employ a reverse correlation procedure to demonstrate that Black Americans, relative to White Americans, conceptualize police offic…