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09/10/2023
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
Fairness problems in recommender systems often have a complexity in prac...
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07/14/2023
Value-based Fast and Slow AI Nudging
Nudging is a behavioral strategy aimed at influencing people's thoughts ...
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03/02/2023
Dynamic fairness-aware recommendation through multi-agent social choice
Algorithmic fairness in the context of personalized recommendation prese...
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11/18/2022
Pandering in a Flexible Representative Democracy
In representative democracies, the election of new representatives in re...
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11/15/2022
Social Mechanism Design: A Low-Level Introduction
How do we deal with the fact that agents have preferences over both deci...
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11/15/2022
Weighting Experts with Inaccurate Judges
We consider the problem of aggregating binary votes from an ensemble of ...
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09/08/2022
Who Pays? Personalization, Bossiness and the Cost of Fairness
Fairness-aware recommender systems that have a provider-side fairness co...
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06/03/2022
Towards Group Learning: Distributed Weighting of Experts
Aggregating signals from a collection of noisy sources is a fundamental ...
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02/21/2022
Learning Behavioral Soft Constraints from Demonstrations
Many real-life scenarios require humans to make difficult trade-offs: do...
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01/19/2022
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
One of the most remarkable things about the human moral mind is its flex...
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01/18/2022
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
Current AI systems lack several important human capabilities, such as ad...
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10/05/2021
Thinking Fast and Slow in AI: the Role of Metacognition
AI systems have seen dramatic advancement in recent years, bringing many...
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09/22/2021
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
Many real-life scenarios require humans to make difficult trade-offs: do...
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07/21/2021
Peer Selection with Noisy Assessments
In the peer selection problem a group of agents must select a subset of ...
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12/07/2020
Computing Fair Utilitarian Allocations of Indivisible Goods
We study the computational complexity of computing allocations that are ...
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12/04/2020
Modeling Voters in Multi-Winner Approval Voting
In many real world situations, collective decisions are made using votin...
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10/12/2020
Thinking Fast and Slow in AI
This paper proposes a research direction to advance AI which draws inspi...
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09/05/2020
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
As recommender systems are being designed and deployed for an increasing...
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04/30/2020
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
In peer selection agents must choose a subset of themselves for an award...
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02/21/2020
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Event datasets are sequences of events of various types occurring irregu...
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12/09/2019
Group Fairness in Bandit Arm Selection
We consider group fairness in the contextual bandit setting. Here, a seq...
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11/29/2019
Heuristic Strategies in Uncertain Approval Voting Environments
In many collective decision making situations, agents vote to choose an ...
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11/05/2019
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Textual entailment is a fundamental task in natural language processing....
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08/01/2019
The Constrained Round Robin Algorithm for Fair and Efficient Allocation
We consider a multi-agent resource allocation setting that models the as...
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05/28/2019
Heuristics in Multi-Winner Approval Voting
In many real world situations, collective decisions are made using votin...
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12/10/2018
Building Ethically Bounded AI
The more AI agents are deployed in scenarios with possibly unexpected si...
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11/07/2018
Flexible Representative Democracy: An Introduction with Binary Issues
We introduce Flexible Representative Democracy (FRD), a novel hybrid of ...
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09/21/2018
CPDist: Deep Siamese Networks for Learning Distances Between Structured Preferences
Preference are central to decision making by both machines and humans. R...
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09/21/2018
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
Autonomous cyber-physical agents and systems play an increasingly large ...
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09/15/2018
Answering Science Exam Questions Using Query Rewriting with Background Knowledge
Open-domain question answering (QA) is an important problem in AI and NL...
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09/15/2018
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Natural Language Inference (NLI) is fundamental to many Natural Language...
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09/15/2018
Incorporating Behavioral Constraints in Online AI Systems
AI systems that learn through reward feedback about the actions they tak...
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06/01/2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
The recent work of Clark et al. introduces the AI2 Reasoning Challenge (...
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05/14/2018
A Cost-Effective Framework for Preference Elicitation and Aggregation
We propose a cost-effective framework for preference elicitation and agg...
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05/19/2017
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods
Motivated by the common academic problem of allocating papers to referee...
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01/26/2017
Ethical Considerations in Artificial Intelligence Courses
The recent surge in interest in ethics in artificial intelligence may le...
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08/03/2016
Empirical Evaluation of Real World Tournaments
Computational Social Choice (ComSoc) is a rapidly developing field at th...
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04/13/2016
Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment
Peer review, evaluation, and selection is a fundamental aspect of modern...
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08/21/2014
A Study of Proxies for Shapley Allocations of Transport Costs
We propose and evaluate a number of solutions to the problem of calculat...
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07/11/2014
Computational Aspects of Multi-Winner Approval Voting
We study computational aspects of three prominent voting rules that use ...
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04/23/2013