Social norm complexity and past reputations in the evolution of cooperation

FP Santos, FC Santos, JM Pacheco - Nature, 2018 - nature.com
Indirect reciprocity is the most elaborate and cognitively demanding 1 of all known
cooperation mechanisms 2, and is the most specifically human 1, 3 because it involves …

Adaptive contract design for crowdsourcing markets: Bandit algorithms for repeated principal-agent problems

CJ Ho, A Slivkins, JW Vaughan - … of the fifteenth ACM conference on …, 2014 - dl.acm.org
Crowdsourcing markets have emerged as a popular platform for matching available workers
with tasks to complete. The payment for a particular task is typically set by the task's …

Labor dynamics in a mobile micro-task market

M Musthag, D Ganesan - Proceedings of the SIGCHI conference on …, 2013 - dl.acm.org
The ubiquity of smartphones has led to the emergence of mobile crowdsourcing markets,
where smartphone users participate to perform tasks in the physical world. Mobile …

How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?

S Narayanan, G Yu, CJ Ho, M Yin - Proceedings of the 2023 AAAI/ACM …, 2023 - dl.acm.org
This paper explores the impact of value similarity between humans and AI on human
reliance in the context of AI-assisted ethical decision-making. Using kidney allocation as a …

[HTML][HTML] Artificial Intelligence and employment: a systematic review

RDE ACYPRESTE, E Paraná - Brazilian Journal of Political Economy, 2022 - SciELO Brasil
This paper presents a systematic literature review, grounded on bibliometric procedures, of
the (political economy) works, produced from 2008 to 2020, on the relations between …

Online decision making in crowdsourcing markets: Theoretical challenges

A Slivkins, JW Vaughan - ACM SIGecom Exchanges, 2014 - dl.acm.org
Over the past decade, crowdsourcing has emerged as a cheap and efficient method of
obtaining solutions to simple tasks that are difficult for computers to solve but possible for …

Approval voting and incentives in crowdsourcing

NB Shah, D Zhou - ACM Transactions on Economics and Computation …, 2020 - dl.acm.org
The growing need for labeled training data has made crowdsourcing a vital tool for
developing machine learning applications. Here, workers on a crowdsourcing platform are …

The influences of task design on crowdsourced judgement: A case study of recidivism risk evaluation

X Duan, CJ Ho, M Yin - Proceedings of the ACM Web Conference 2022, 2022 - dl.acm.org
Crowdsourcing is widely used to solicit judgement from people in diverse applications
ranging from evaluating information quality to rating gig worker performance. To encourage …

Incentive mechanism and rating system design for crowdsourcing systems: Analysis, tradeoffs and inference

H Xie, JCS Lui - IEEE Transactions on Services Computing, 2016 - ieeexplore.ieee.org
Macrotasking crowdsourcing systems like Elance and Fiverr serve as efficient platforms for
requesters to outsource challenging and innovative tasks that require special skills to …

Incentive mechanism and protocol design for crowdsourcing systems

H Xie, JCS Lui, JW Jiang… - 2014 52nd annual Allerton …, 2014 - ieeexplore.ieee.org
Crowdsourcing systems such as Amazon Mechanical Turk, Yahoo! Answers, and Google
Helpouts have attracted extensive attention over the past few years. In a crowdsourcing …