AIES 2022 Accepted Papers

Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
Hammaad Adam, Ming Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Celi, Jiaming Zeng, Moninder Singh and Marzyeh Ghassemi

Long-term Dynamics of Fairness Intervention in Connection Recommender Systems
Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy and Kinjal Basu

Dynamic Fleet Management and Household Feedback for Garbage Collection
Martin Aleksandrov

Understanding Decision Subjects’ Fairness Perceptions and Retention in repeated Interactions with AI-Based Decision Systems
Meric Altug Gemalmaz and Ming Yin

SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan, Jianxin Bi and Harold Soh

Crowdsourcing Impacts: Exploring the Utility of Crowds for Anticipating Societal Impacts of Algorithmic Decision Making
Julia Barnett and Nicholas Diakopoulos

Aegis: An Agent for Multi-party Privacy preservation
Rim Ben Salem, Esma Aïmeur and Hicham Hage

How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review
Astrid Bertrand, Rafik Belloum, James R. Eagan and Winston Maxwell

The Cost of Ethical AI Development for AI Startups
James Bessen, Stephen Michael Impink and Robert Seamans

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation
Alejandra Bringas Colmenarejo, Luca Nannini, Alisa Rieger, Kristen Marie Scott, Xuan Zhao, Gourab K Patro, Gjergji Kasneci and Katharina Kinder-Kurlanda

Current and Near-Term AI as a Potential Existential Risk Factor
Benjamin Bucknall and Shiri Dori-Hacohen

Racial Disparities in the Enforcement of Marijuana Violations in the US
Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst and Adrian Weller

FINS Auditing Framework: Group Fairness for Subset Selections
Kathleen Cachel and Elke Rundensteiner

Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics
Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe and Mahzarin Banaji

Piecemeal knowledge acquisition for computational normative reasoning
Ilaria Canavotto and John Horty

Ordinary people as moral heroes and foes: Digital role model narratives propagate social norms in China’s Social Credit System
Mo Chen, Severin Engelmann and Jens Grossklags

A Survey of the Potential Long-term Impacts of AI
Sam Clarke and Jess Whittlestone

Counterfactual explanations for prediction and diagnosis in XAI
Xinyue Dai, Mark T. Keane, Laurence Shalloo, Elodie Ruelle and Ruth M.J. Byrne

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju

Responsible AI systems: Who are the stakeholders?
Advait Deshpande and Helen Sharp

Social media profiling continues to partake in the development of formalistic self-concepts. Social media users think so, too
Severin Engelmann, Valentin Scheibe, Fiorella Battaglia and Jens Grossklags

Stochastic Policies in Morally Constrained (C-)SSPs
Charles Evans, Claire Benn, Ignacio Ojea Quintana, Pamela Robinson and Sylvie Thiebaux

Causal Framework of Artificial Autonomous Agent Responsibility
Matija Franklin, Hal Ashton, Edmond Awad and David Lagnado

An Ontology for Fairness Metrics
Jade Franklin, Karan Bhanot, Mohamed Ghalwash, Jamie McCusker, Kristin Bennett and Deborah McGuinness

FairCanary: Rapid Continuous Explainable Fairness
Avijit Ghosh, Aalok Shanbhag and Christo Wilson

Learning Fairer Interventions
Yuzi He, Keith Burghardt, Siyi Guo and Kristina Lerman

Diversity by Design’? Balancing the Inclusion and Protection of Users in an Online Social Platform
Paula Helm, Loizos Michael and Laura Schelenz

The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning
Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman and Arvind Narayanan

Responsible Algorithmic Fairness: Insights from Feminist Political Philosophy
Atoosa Kasirzadeh

Fair Lending Regulation
I. Elizabeth Kumar, Keegan Hines and John P. Dickerson. Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S

Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application
Manisha Kusuma, Vikram Mohanty, Boyuan Wang and Kurt Luther

How Open Source Machine Learning Shapes AI
Max Langenkamp and Daniel Yue

CLEARE: Contrastive Learning with Robust Encoder for Better Detection of Biased Language
Zhuoyan Li, Zhuoran Lu and Ming Yin

Data-Centric Factors in Algorithmic Fairness
Nianyun Li, Naman Goel and Elliott Ash

Artificial Moral Advisors: A New Perspective from Moral Psychology
Yuxin Liu, Adam Moore, Jamie Webb and Shannon Vallor

Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews
David Liu, Priyanka Nanayakkara, Sarah Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica Hullman and Tina Eliassi-Rad

Artificial Intelligence in the Government: Responses to Failures and Social Impact
Chiara Longoni, Luca Cian and Ellie Kyung

Making Human-Like Moral Decisions
Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava and Kristen Brent Venable

DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations
Yiwei Lyu, Paul Liang, Zihao Deng, Ruslan Salakhutdinov and Louis-Philippe Morency

Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics
Maysa M G Macedo, Wyatt Clarke, Eli Lucherini, Tyler Baldwin, Dilermando Queiroz, Rogerio de Paula and Subhro Das

Does AI de-Bias Recruitment? Race, Gender, and AI’s ‘Eradication of Differences Between Groups’
Kerry Anne Mackereth and Eleanor Drage

Investigating Debiasing Effects on Classification and Explainability
Marta Marchiori Manerba and Riccardo Guidotti

Mimetic Models: Ethical Implications of AI that Acts Like You
Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Solon Barocas and Ashton Anderson

Managing Sustainability Tensions in Artificial Intelligence: Insights from Paradox Theory
Eleanor Mill, Wolfgang Garn and Nick Ryman-Tubb

Contrastive Counterfactual Fairness in Algorithmic Decision-Making
Ece Mutlu, Ozlem Ozmen Garibay and Niloofar Yousefi

How Does Predictive Information Affect Human Ethical Preferences?
Saumik Narayanan, Guanghui Yu, Wei Tang, Chien-Ju Ho and Ming Yin

Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals
Shiva Omrani Sabbaghi and Aylin Caliskan

How Online Platforms’ Algorithmic Tools Shape the Distribution of Political Advertising
Orestis Papakyriakopoulos, Mihir Kshirsagar, Christelle Tessono and Arvind Narayanan

A Dynamic Decision-Making Framework Promoting Long-Term Fairness
Bhagyashree Puranik, Upamanyu Madhow and Ramtin Pedarsani

Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
Inioluwa Deborah Raji, Peggy Xu, Colleen Honigsberg and Daniel Ho

Resume Format, LinkedIn URLs and Other Unexpected Influences on AI Personality Prediction in Hiring: Results of an Audit
Alene Rhea, Kelsey Markey, Lauren D’Arinzo, Hilke Schellmann, Mona Sloane, Paul Squires and Julia Stoyanovich

A Bio-Inspired Framework for Machine Bias Interpretation
Jake Robertson, Catherine Stinson and Ting Hu

Select Wisely and Explain: Active Learning and Probabilistic Local Post-hoc Explainability
Aditya Saini and Ranjitha Prasad

Algorithms that “Don’t See Color”: Measuring Biases in Lookalike and Special Ad Audiences
Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Alan Mislove and Aaron Rieke

A Meta-Analysis of the Utility of Explainable Artificial Intelligence in Human-AI Decision-Making
Max Schemmer, Patrick Hemmer, Maximilian Nitsche, Niklas Kühl and Michael Vössing

From Coded Bias to Existential Threat: Mapping Expert Frames for AI Governance
Hendrik Schopmans

Respect as a Lens for the Design of AI Systems
William Seymour, Max Van Kleek, Reuben Binns and Dave Murray-Rust

Generating Deontic Obligations From Utility-Maximizing Systems
Colin Shea-Blymyer and Houssam Abbas

Strategic Best Response Fairness in Fair Machine Learning
Hajime Shimao, Warut Khern-Am-Nuai, Karthik Kannan and Maxime Cohen

Towards a Feminist Metaethics of AI
Anastasia Siapka

Achievement and Fragility of Long-term Equitability
Andrea Simonetto and Ivano Notarnicola

Towards Robust Off-Policy Evaluation via Human Inputs
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju

Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain
Erick Skorupa Parolin, Mohammadsaleh Hosseini, Yibo Hu, Latifur Khan, Patrick Brandt, Javier Osorio and Vito D’Orazio

Recommending for the good: towards ethical standards for algorithmic recourse
Emily Sullivan and Philippe Verreault-Julien

What are People Talking about in #BackLivesMatter and #StopAsianHate? Exploring and Categorizing Twitter Topics Emerged in Online Social Movements through the Latent Dirichlet Allocation Model
Xin Tong, Jiayi Li, Yixuan Li, Luyao Zhang and Rongqi Bei

Actual Causality and Responsibility Attribution in Decentralized Partially Observable Markov Decision Processes
Stelios Triantafyllou, Adish Singla and Goran Radanovic

Human Autonomy in Algorithmic Management
Charlotte Unruh, Charlotte Haid, Fottner Johannes and Tim Büthe

Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg and James Zou

Explainability’s Gain is Optimality’s Loss? — How Explanations Mislead
Charles Wan, Rodrigo Belo and Leid Zejnilovic

Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups
Amy Winecoff and Elizabeth Watkins

American == White in Multimodal Language-and-Image AI
Robert Wolfe and Aylin Caliskan

Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation
Yu Yang, Aayush Gupta, Jianwei Feng, Yue Rex Wu, Vivek Yadav, Varsha Hedau, Prateek Singhal, Pradeep Natarajan and Jungseock Joo

A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
Rui-Jie Yew and Dylan Hadfield-Menell

Identifying Bias in Data Using Two-Distribution Hypothesis Tests
William Yik, Limnanthes Serafini, Timothy Lindsey and George Montanez

A Model for Governing Information Sharing in Smart Assistants
Xiao Zhan, Stefan Sarkadi, Natalia Criado Pacheco and Jose Such

Judging Instinct Exploitation in Statistical Data Explanations Based on Word Embedding
Kang Zhang, Hiroaki Shinden, Tatsuki Mutsuro and Einoshin Suzuki

No Rage Against the Machines: Threat of Automation Does Not Change Policy Preferences
Baobao Zhang

Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study
Miri Zilka, Holli Sargeant and Adrian Weller