14 citations · 22 across the 6 of their papers we have counts for
6 papers
Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping
Dena Mujtaba, Brian Hu, Anthony Hoogs +1
The deployment of decision-making AI agents presents a critical challenge in maintaining alignment with human values or guidelines while operating in complex, dynamic environments.…
Fine-Tuning ASR for Stuttered Speech: Personalized vs. Generalized Approaches
Dena Mujtaba, Nihar Mahapatra
Stuttering -- characterized by involuntary disfluencies such as blocks, prolongations, and repetitions -- is often misinterpreted by automatic speech recognition (ASR) systems, res…
Behind the Screens: Uncovering Bias in AI-Driven Video Interview Assessments Using Counterfactuals
Dena F. Mujtaba, Nihar R. Mahapatra
AI-enhanced personality assessments are increasingly shaping hiring decisions, using affective computing to predict traits from the Big Five (OCEAN) model. However, integrating AI…
Inclusive ASR for Disfluent Speech: Cascaded Large-Scale Self-Supervised Learning with Targeted Fine-Tuning and Data Augmentation
Dena Mujtaba, Nihar R. Mahapatra, Megan Arney +3
Automatic speech recognition (ASR) systems often falter while processing stuttering-related disfluencies -- such as involuntary blocks and word repetitions -- yielding inaccurate t…
Lost in Transcription: Identifying and Quantifying the Accuracy Biases of Automatic Speech Recognition Systems Against Disfluent Speech
Dena Mujtaba, Nihar R. Mahapatra, Megan Arney +4
Automatic speech recognition (ASR) systems, increasingly prevalent in education, healthcare, employment, and mobile technology, face significant challenges in inclusivity, particul…
Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
Dena F. Mujtaba, Nihar R. Mahapatra
The recruitment process significantly impacts an organization's performance, productivity, and culture. Traditionally, human resource experts and industrial-organizational psycholo…