Nikola Banovic
Associate Professor, EECS – Computer Science and Engineering; Associate Director, Michigan Institute for Data Science
Studies explainable and responsible AI from a human-computer interaction perspective, including computational models of human behavior that inform interactive systems.
Nikola Banovic's lab at Michigan works on interfaces & interaction techniques, human-AI collaboration & trust and trustworthy & safe ML. 26 papers since 2023, 10 at top venues, mostly CSCW and CHI. 3 PhD students and 1 master's student. 23 alumni. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 38%
- PhD students
- 3
- MS students
- 1
- alumni listed
- 23
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 3
- 7 papers2024 · T1 3
- 9 papers2023 · T1 3
T1 venuesOtherVenues: CSCW, CHI, FAccT, IUI, TOCHI
Research focuspaper titles that use each topic's words
- Human-AI collaboration & trust5 papers
- Trustworthy & safe ML1 paper
- Interfaces & interaction techniques0 papers
- perspective0 papers
- interactive systems0 papers
Paper list
From the lab homepage.
20266 papers
- Extended Abstracts of the CHI Conference on Human Factors in Computing SystemsAI CHAOS! 2$^nd$ Workshop on the Challenges for Human Oversight of AI Systems (opens in a new tab)
- FAccTAlgorithm Auditing Policies Rest on Flawed Assumptions About Public Sector Systems (opens in a new tab)
- ACM Trans. Comput. HealthcareBeyond Conventional Health Technologies: Investigating Design Opportunities for Improving Self-management in People with Multiple Sclerosis (opens in a new tab)
- CSCW (T1)Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing (opens in a new tab)
- Earth's FutureReimagining How Flood Warnings Can Inform Decision-Making and Community Actions (opens in a new tab)
- FAccTThe Paradox of ‘Algorithmic’ Accountability and its Implications for Design (opens in a new tab)
20254 papers
- Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society"Do Your Guardrails Even Guard?" Method for Evaluating Effectiveness of Moderation Guardrails in Aligning LLM Outputs with Expert User Expectations (opens in a new tab)
- CHI (T1)"Here the GPT made a choice, and every choice can be biased": How Students Critically Engage with LLMs through End-User Auditing Activity (opens in a new tab)
- CSCW (T1)Playing 'Google's Game': How Educational YouTubers Manage Tensions Between Education and Monetization (opens in a new tab)
- CSCW (T1)What Do People Want to Know about Artificial Intelligence (AI)? The Importance of Answering End-user Questions to Explain Autonomous Vehicle (AV) Decisions (opens in a new tab)
20247 papers
- CHI (T1)"I know even if you don't tell me": Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization (opens in a new tab)
- AGU Fall Meeting AbstractsA physics-human integrated decision-making framework for DoD installations under flood risks
- Journal of Graduate Medical EducationChatGPT and Artificial Intelligence in Graduate Medical Education Program Applications (opens in a new tab)
- CSCW (T1)Code-ifying the Law: How Disciplinary Divides Afflict the Development of Legal Software (opens in a new tab)
- Extended Abstracts of the CHI Conference on Human Factors in Computing SystemsHexing Twitter: Channeling Ancient Magic to Bind Mechanisms of Extraction (opens in a new tab)
- Frontiers in Systems BiologyIntegrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity (opens in a new tab)
- UIST (T1)VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making (opens in a new tab)
20239 papers
- TOCHI (T1)A Bayesian Approach for Quantifying Data Scarcity when Modeling Human Behavior via Inverse Reinforcement Learning (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.Behavior Modeling Approach for Forecasting Physical Functioning of People with Multiple Sclerosis (opens in a new tab)
- CSCW (T1)Being Trustworthy is Not Enough: How Untrustworthy Artificial Intelligence (AI) Can Deceive the End-Users and Gain Their Trust (opens in a new tab)
- CHI (T1)Less is Not More: Improving Findability and Actionability of Privacy Controls for Online Behavioral Advertising (opens in a new tab)
- Frontiers in Computer ScienceLowering the computational barrier: Partially Bayesian neural networks for transparency in medical imaging AI (opens in a new tab)
- Proceedings of the ACM Designing Interactive Systems ConferenceLudification as a Lens for Algorithmic Management: A Case Study of Gig-Workers’ Experiences of Ambiguity in Instacart Work (opens in a new tab)
- JAMAMeasuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study (opens in a new tab)
- Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.StructureSense: Inferring Constructive Assembly Structures from User Behaviors (opens in a new tab)
- IUIUnderstanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making (opens in a new tab)
Where alumni went23 listed
Apply to MichiganFall 2027
Michigan CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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