Trustworthy AI

02/14/2020
by   Jeannette M. Wing, et al.
0

The promise of AI is huge. AI systems have already achieved good enough performance to be in our streets and in our homes. However, they can be brittle and unfair. For society to reap the benefits of AI systems, society needs to be able to trust them. Inspired by decades of progress in trustworthy computing, we suggest what trustworthy properties would be desired of AI systems. By enumerating a set of new research questions, we explore one approach–formal verification–for ensuring trust in AI. Trustworthy AI ups the ante on both trustworthy computing and formal methods.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/25/2023

The Importance of Distrust in AI

In recent years the use of Artificial Intelligence (AI) has become incre...
research
06/22/2022

AI Challenges for Society and Ethics

Artificial intelligence is already being applied in and impacting many i...
research
12/18/2019

Why we need an AI-resilient society

Artificial intelligence is considered as a key technology. It has a huge...
research
06/21/2020

A blindspot of AI ethics: anti-fragility in statistical prediction

With this paper, we aim to put an issue on the agenda of AI ethics that ...
research
09/18/2023

Two Decades of Empirical Research on Trust in AI: A Bibliometric Analysis and HCI Research Agenda

Trust is widely regarded as a critical component to build artificial int...
research
05/02/2022

Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems

What explains the dramatic progress from 20th-century to 21st-century AI...
research
11/26/2021

AI and the Everything in the Whole Wide World Benchmark

There is a tendency across different subfields in AI to valorize a small...

Please sign up or login with your details

Forgot password? Click here to reset