University of Hertfordshire

By the same authors

How to Solve AI Bias

Research output: Contribution to conferencePaper

Standard

How to Solve AI Bias. / Bradley, Robin.

2020. Paper presented at Women in Tech - Bias in AI, London, United Kingdom.

Research output: Contribution to conferencePaper

Harvard

Bradley, R 2020, 'How to Solve AI Bias', Paper presented at Women in Tech - Bias in AI, London, United Kingdom, 17/02/20 - 17/02/20.

APA

Bradley, R. (2020). How to Solve AI Bias. Paper presented at Women in Tech - Bias in AI, London, United Kingdom.

Vancouver

Bradley R. How to Solve AI Bias. 2020. Paper presented at Women in Tech - Bias in AI, London, United Kingdom.

Author

Bradley, Robin. / How to Solve AI Bias. Paper presented at Women in Tech - Bias in AI, London, United Kingdom.7 p.

Bibtex

@conference{f6b4a6f7a100421a83ee78fc0b6b018d,
title = "How to Solve AI Bias",
abstract = "Bias in AI is a topic that impacts machine learning and artificial intelligence technology that learns from datasets and its training data. While gender discrimination and chatbots showing bias have recently caught people{\textquoteright}s attention and imagination, the overall area of how to correct and manage bias is in its infancy for business use. Further, little is known about how to solve bias in AI and how there could potent for malicious misuse at large scale. We explore this area and propose solutions to this problem.",
keywords = "Artificial intelligence, AI artificial intelligence, bias, Machine Learning, Algorithm and data structure visualization, Algorithms, ethics and politics, Ethics Committees, Research, ethics; socially responsible investment, testing methodology",
author = "Robin Bradley",
note = "{\textcopyright} 2020 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.; Women in Tech - Bias in AI : Publicis Media Women in Tech: Bias in Algorithms ; Conference date: 17-02-2020 Through 17-02-2020",
year = "2020",
month = feb,
day = "17",
language = "English",

}

RIS

TY - CONF

T1 - How to Solve AI Bias

AU - Bradley, Robin

N1 - © 2020 The Author(s). This an open access work distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

PY - 2020/2/17

Y1 - 2020/2/17

N2 - Bias in AI is a topic that impacts machine learning and artificial intelligence technology that learns from datasets and its training data. While gender discrimination and chatbots showing bias have recently caught people’s attention and imagination, the overall area of how to correct and manage bias is in its infancy for business use. Further, little is known about how to solve bias in AI and how there could potent for malicious misuse at large scale. We explore this area and propose solutions to this problem.

AB - Bias in AI is a topic that impacts machine learning and artificial intelligence technology that learns from datasets and its training data. While gender discrimination and chatbots showing bias have recently caught people’s attention and imagination, the overall area of how to correct and manage bias is in its infancy for business use. Further, little is known about how to solve bias in AI and how there could potent for malicious misuse at large scale. We explore this area and propose solutions to this problem.

KW - Artificial intelligence

KW - AI artificial intelligence

KW - bias

KW - Machine Learning

KW - Algorithm and data structure visualization

KW - Algorithms

KW - ethics and politics

KW - Ethics Committees, Research

KW - ethics; socially responsible investment

KW - testing methodology

M3 - Paper

T2 - Women in Tech - Bias in AI

Y2 - 17 February 2020 through 17 February 2020

ER -