-
Can Algorithms Reduce Inequality?
lnbressa
Author: Rediet Abebe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms can be designed to reduce inequality by bringing in diverse groups of stakeholders. Collaboration between policymakers and algorithm designers can improve outcomes of applied algorithms. Social scientists should be included in implementation as well to promote equality and justice. This TED…
-
How Artificial Intelligence Can Deepen Racial and Economic Inequities
lnbressa
Author: Olga Akselrod; Publisher: ACLU; Publication Year: 2021. The following article presents a direct call to action to law makers to increase legislation to prevent against bias and discrimination in artificial intelligence (AI) algorithms. The author describes how, intentionally or not, AI algorithms can perpetuate inequalities that exist among the populations that they deal with.…
-
Top 9 ethical issues in artificial intelligence
lnbressa
Author: Julia Bossmann; Publisher: World Economic Forum; Publication Year: 2016. The following article discusses 9 ethical issues with the use of artificial intelligence (AI) and the corresponding questions that should be asked: 1). Unemployment: What happens after the end of jobs; 2). Inequality: How do we distribute the wealth created by machines; 3). Humanity: How…
-
Who Will Establish Metaverse Ethics?
lnbressa
Author: Josh Entsminger, Mark Esposito, Terence Tse; Publisher: Project Syndicate; Publication Year: 2022. The following article discusses how the “metaverse” is a term describing a dystopian society characterized by the immersion of virtual reality into daily life. The development of new technologies as we head towards the metaverse requires greater focus on data ethics to…
-
Bias in Machine Learning
lnbressa
Author: N/A; Publisher: Miro; Publication Year: N/A. The following visualization highlights the impact of bias in several aspects of the machine learning lifecycle. One point discussed frequently is the patterns of bias and discrimination baked into data sets. This image highlights that the real world patterns of discrimination and inequality are the source of the…
-
Weapons of Math Destruction
lnbressa
Author: Cathy O’Neil; Publisher: Crown; Publication Year: 2016. The following book discusses “weapons of math destruction”: algorithms that try to quantify subjective qualities or judgment metrics. For example, an algorithm that tries to quantify “creditworthiness” is meant to streamline and increase efficiency. However the designs of this system and many others like it end up…
Archive
Categories
- 1979
- 2002
- 2004
- 2006
- 2007
- 2010
- 2011
- 2012
- 2013
- 2014
- 2015
- 2016
- 2017
- 2018
- 2019
- 2020
- 2021
- 2022
- 2023
- Agriculture
- Automobiles
- Aviation
- Banking & Finance
- Bias
- Blog Article
- Book
- Cartography
- Code of Ethics
- Communities of Practice
- Criminal Justice
- Digital Media
- Diversity, Equity & Inclusion
- Education
- Education & Training
- Encyclopedia
- Environment
- Film, Arts & Entertainment
- Frameworks
- Glossary
- Healthcare
- Industry-Specific
- Insurance
- Legal & Policy
- News Article
- Notable People
- Oil & Gas
- Podcast
- Privacy
- Renewable Energy
- Research Article
- Social Justice
- Sports
- Tool
- Uncategorized
- Underrepresented Author
- Video
- Visualization
- White Paper