Human & Machine Intelligence

The future of online trust (and why Deepfake is advancing it)

June 27, 2021

Abstract

Trust has become a first-order concept in AI, urging experts to call for measures ensuring AI is ‘trustworthy’. The danger of untrustworthy AI often culminates with Deepfake, perceived as unprecedented threat for democracies and online trust, through its potential to back sophisticated disinformation campaigns. Little work has, however, been dedicated to the examina- tion of the concept of trust, what undermines the arguments supporting such initiatives. By investigating the concept of trust and its evolutions, this paper ultimately defends a non-intuitive position: Deepfake is not only incapable of contributing to such an end, but also offers a unique opportunity to transition towards a framework of social trust better suited for the chal- lenges entailed by the digital age. Discussing the dilemmas traditional societies had to overcome to establish social trust and the evolution of their solution across modernity, I come to reject rational choice theories to model trust and to distinguish an ‘instrumental rationality’ and a ‘social rationality’. This allows me to refute the argument which holds Deepfake to be a threat to online trust. In contrast, I argue that Deepfake may even support a transition from instrumental to social rationality, better suited for making decisions in the digital age.

Download the Paper

AUTHORS

Written by

Hubert Etienne

Publisher

AI & Ethics

Research Topics

Human & Machine Intelligence

Related Publications

November 30, 2020

Human & Machine Intelligence

Measuring Systematic Generalization in Neural Symbolic Reasoning with Transformers

Koustuv Sinha, Christopher Pal, Nicolas Gontier, Siva Reddy

November 30, 2020

December 03, 2018

Human & Machine Intelligence

Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger

Gabriel Synnaeve, Daniel Gant, Jonas Gehring, Nicolas Carion, Nicolas Usunier, Vasil Khalidov, Vegard Mella, Zeming Lin

December 03, 2018

December 03, 2018

Human & Machine Intelligence

Speech & Audio

Forward Modeling for Partial Observation Strategy Games | Facebook AI Research

Gabriel Synnaeve, Zeming Lin, Jonas Gehring, Dan Gant, Vegard Mella, Vasil Khalidov, Nicolas Carion, Nicolas Usunier

December 03, 2018

April 24, 2017

Human & Machine Intelligence

Computer Vision

Episodic Exploration for Deep Deterministic Policies for StarCraft Micro-Management | Facebook AI Research

Nicolas Usunier, Gabriel Synnaeve, Zeming Lin, Soumith Chintala

April 24, 2017

May 06, 2019

Human & Machine Intelligence

Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies | Facebook AI Research

Kenneth Marino, Abhinav Gupta, Rob Fergus, Arthur Szlam

May 06, 2019

Help Us Pioneer The Future of AI

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.