Iyad Rahwan

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MIT

Associate Professor of Media Arts & Sciences at the MIT Media Lab

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∙ 04/14/2022

Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation

In this paper we conduct a longitudinal analysis of the structure of lab...

Shahad Althobaiti, et al. ∙

∙ 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...

Edmond Awad, et al. ∙

∙ 02/23/2021

Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) – Potentials and Pitfalls for Top-down and Bottom-up Approaches

Corruption continues to be one of the biggest societal challenges of our...

Nils Köbis, et al. ∙

∙ 04/22/2020

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning

We propose a new discrimination-aware learning method to improve both ac...

Ignacio Serna, et al. ∙

∙ 12/04/2019

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

The most popular face recognition benchmarks assume a distribution of su...

Ignacio Serna, et al. ∙

∙ 07/06/2019

Human detection of machine manipulated media

Recent advances in neural networks for content generation enable artific...

Matthew Groh, et al. ∙

∙ 04/04/2019

Evaluating Style Transfer for Text

Research in the area of style transfer for text is currently bottlenecke...

Remi Mir, et al. ∙

∙ 01/08/2019

Price of Anarchy in Algorithmic Matching of Romantic Partners

Algorithmic-matching sites offer users access to an unprecedented number...

Andres Abeliuk, et al. ∙

∙ 03/20/2018

Closing the AI Knowledge Gap

AI researchers employ not only the scientific method, but also methodolo...

Ziv Epstein, et al. ∙

∙ 03/19/2018

Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation

When a semi-autonomous car crashes and harms someone, how are blame and ...

Edmond Awad, et al. ∙

∙ 02/14/2018

MemeSequencer: Sparse Matching for Embedding Image Macros

The analysis of the creation, mutation, and propagation of social media ...

Abhimanyu Dubey, et al. ∙

∙ 01/12/2018

A Computational Model of Commonsense Moral Decision Making

We introduce a new computational model of moral decision making, drawing...

Richard Kim, et al. ∙

∙ 10/10/2017

Facebook's gender divide

Online social media are information resources that can have a transforma...

David Garcia, et al. ∙

∙ 09/20/2017

A Voting-Based System for Ethical Decision Making

We present a general approach to automating ethical decisions, drawing o...

Ritesh Noothigattu, et al. ∙

∙ 08/07/2017

Regulating Highly Automated Robot Ecologies: Insights from Three User Studies

Highly automated robot ecologies (HARE), or societies of independent aut...

Wen Shen, et al. ∙

∙ 08/01/2017

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

NLP tasks are often limited by scarcity of manually annotated data. In s...

Bjarke Felbo, et al. ∙

∙ 07/04/2016

Superintelligence cannot be contained: Lessons from Computability Theory

Superintelligence is a hypothetical agent that possesses intelligence fa...

Manuel Alfonseca, et al. ∙

∙ 04/03/2016

Pareto Optimality and Strategy Proofness in Group Argument Evaluation (Extended Version)

An inconsistent knowledge base can be abstracted as a set of arguments a...

Edmond Awad, et al. ∙

∙ 04/03/2016

Experimental Assessment of Aggregation Principles in Argumentation-enabled Collective Intelligence

On the Web, there is always a need to aggregate opinions from the crowd ...

Edmond Awad, et al. ∙

∙ 05/26/2014

Judgment Aggregation in Multi-Agent Argumentation

Given a set of conflicting arguments, there can exist multiple plausible...

Edmond Awad, et al. ∙