Iyad Rahwan

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MIT

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

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...
04/22/2020 ∙ by Ignacio Serna, et al. ∙ 17 ∙ share

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

The most popular face recognition benchmarks assume a distribution of su...
12/04/2019 ∙ by Ignacio Serna, et al. ∙ 18 ∙ share

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Human detection of machine manipulated media

Recent advances in neural networks for content generation enable artific...
07/06/2019 ∙ by Matthew Groh, et al. ∙ 3 ∙ share

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Evaluating Style Transfer for Text

Research in the area of style transfer for text is currently bottlenecke...
04/04/2019 ∙ by Remi Mir, et al. ∙ 0 ∙ share

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Price of Anarchy in Algorithmic Matching of Romantic Partners

Algorithmic-matching sites offer users access to an unprecedented number...
01/08/2019 ∙ by Andres Abeliuk, et al. ∙ 0 ∙ share

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Closing the AI Knowledge Gap

AI researchers employ not only the scientific method, but also methodolo...
03/20/2018 ∙ by Ziv Epstein, et al. ∙ 0 ∙ share

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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 ...
03/19/2018 ∙ by Edmond Awad, et al. ∙ 0 ∙ share

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MemeSequencer: Sparse Matching for Embedding Image Macros

The analysis of the creation, mutation, and propagation of social media ...
02/14/2018 ∙ by Abhimanyu Dubey, et al. ∙ 0 ∙ share

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A Computational Model of Commonsense Moral Decision Making

We introduce a new computational model of moral decision making, drawing...
01/12/2018 ∙ by Richard Kim, et al. ∙ 0 ∙ share

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Facebook's gender divide

Online social media are information resources that can have a transforma...
10/10/2017 ∙ by David Garcia, et al. ∙ 0 ∙ share

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A Voting-Based System for Ethical Decision Making

We present a general approach to automating ethical decisions, drawing o...
09/20/2017 ∙ by Ritesh Noothigattu, et al. ∙ 0 ∙ share

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Regulating Highly Automated Robot Ecologies: Insights from Three User Studies

Highly automated robot ecologies (HARE), or societies of independent aut...
08/07/2017 ∙ by Wen Shen, et al. ∙ 0 ∙ share

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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...
08/01/2017 ∙ by Bjarke Felbo, et al. ∙ 0 ∙ share

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Superintelligence cannot be contained: Lessons from Computability Theory

Superintelligence is a hypothetical agent that possesses intelligence fa...
07/04/2016 ∙ by Manuel Alfonseca, et al. ∙ 0 ∙ share

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

An inconsistent knowledge base can be abstracted as a set of arguments a...
04/03/2016 ∙ by Edmond Awad, et al. ∙ 0 ∙ share

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Experimental Assessment of Aggregation Principles in Argumentation-enabled Collective Intelligence

On the Web, there is always a need to aggregate opinions from the crowd ...
04/03/2016 ∙ by Edmond Awad, et al. ∙ 0 ∙ share

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Judgment Aggregation in Multi-Agent Argumentation

Given a set of conflicting arguments, there can exist multiple plausible...
05/26/2014 ∙ by Edmond Awad, et al. ∙ 0 ∙ share

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Iyad Rahwan

Featured Co-authors

Anders Søgaard

Pradeep Ravikumar

Julian Fierrez

Aythami Morales

Abhimanyu Dubey

Ariel D. Procaccia

Andres Abeliuk

Manuel Cebrian

Wen Shen

Josh Tenenbaum

Richard Booth

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

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

Human detection of machine manipulated media

Evaluating Style Transfer for Text

Price of Anarchy in Algorithmic Matching of Romantic Partners

Closing the AI Knowledge Gap

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

MemeSequencer: Sparse Matching for Embedding Image Macros

A Computational Model of Commonsense Moral Decision Making

Facebook's gender divide

A Voting-Based System for Ethical Decision Making

Regulating Highly Automated Robot Ecologies: Insights from Three User Studies

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

Superintelligence cannot be contained: Lessons from Computability Theory

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

Experimental Assessment of Aggregation Principles in Argumentation-enabled Collective Intelligence

Judgment Aggregation in Multi-Agent Argumentation