Ayanna Howard
Computer Science · The Ohio State University
Publications
239
Citations
5,096
Est. group size
—
Recurring co-author estimate
Active years
56
Publishing since 1970
Ayanna Howard studies human-robot interaction, robotics, and the ethics and social impacts of artificial intelligence, including how bias appears in AI systems like large language models and image generators. Her work also spans assistive and rehabilitation robotics, such as therapy tools for children with autism and technology to support stroke and cerebral palsy patients. This research blends technical robotics/AI development with social questions about trust, fairness, deception, and equitable access to technology.
Publication output was higher and more variable earlier in the decade (e.g., 13-17 papers in 2017 and 2020) but has settled into a steadier, lower rate of about 4-6 papers per year in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Mitigating Bias in Large Language Models Through Culturally-Relevant LLMs
2025
- Unveiling Occupational Gender Bias in AI: A Comparative Analysis of Text-to-Image Generation in ChatGPT and Gemini
2025
- Perception Bias in Facial Expression Recognition: Implications for Social Robotics
Lecture notes in computer science · 2025
- Music-Based Emotion and Social Interaction Therapy for Children with ASD Using Interactive Robots
2025
- Effect of virtual reality on improving arm function in individuals with cerebral palsy: an overview of meta-analyses
Developmental Neurorehabilitation · 2025
- Mitigating Bias in Large Language Models Associated with Occupational Stereotypes
2025
- Lie, Repent, Repeat: Exploring Apologies after Repeated Robot Deception
2024
- Exploring the Intersectionality of Engineering Postdoctoral Scholars in the LEGACY Scholars Program
2024
- Black in Robotics: Improving community and equity in the field of robotics
Science Robotics · 2024
- Perceptions of stroke survivors regarding factors affecting adoption of technology and exergames for rehabilitation
PM&R · 2023
- Developing Coding Instruction Videos for K12 Hearing Impaired Students Using American Sign Language
ACM SIGCSE Bulletin · 2023
- Lying About Lying
2023
- Tempering Transparency in Human-Robot Interaction
2023
- Effects of object size and task goals on reaching kinematics in a non-immersive virtual environment
Human Movement Science · 2022
- Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification
2022 ACM Conference on Fairness, Accountability, and Transparency · 2022
- Lecture notes in computer science×5
- SMARTech Repository (Georgia Institute of Technology)×3
- 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)×3
- IEEE Robotics & Automation Magazine×2
- ACM Transactions on Human-Robot Interaction×2
- Weizhe Chen
Computer Science · Indiana University
- Lantao Liu
Computer Science · Indiana University
- Zachary Kingston
Computer Science · Purdue University West Lafayette
- Jeffrey L. Anderson
Computer Science · Indiana University
- Ahmed H. Qureshi
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile