-
Playing with AI Fairness: Google’s New Machine Learning Diagnostic Tool Lets Users Try on Five Different Types of Fairness
lnbressa
Author: David Weinberger; Publisher: What-If Tool; Publication Year: N/A. The following article discusses how Google created a “What-If” visualization tool to test machine learning systems and demonstrate how they perform in regards to different definitions of “fair”. This article outlines how the what-if tool assesses 5 different types of fairness: Group unaware, demographic parity, equal…
-
The Impact of AI on Society
lnbressa
Author: N/A; Publisher: Data Ethics 4 All; Publication Year: N/A. The following panel discusses ethical artificial intelligence (AI) practices, and how the data science community needs to balance human values with the values of an efficient algorithm. These values include: representation, fairness, lessons learned, evidence based governing procedures, progress, understanding, and transparency. The panel also…
-
Data Brew Season 2, Episode 2: Data Ethics
lnbressa
Author: Databricks; Publisher: Spotify; Publication Year: 2021. The following podcast episode discusses how in the realm of business and marketing, the regulation of fairness and data ethics are essential elements to consider when building a model. A pressing issue caused by lack of data ethics includes the breeding of disparity when decisions based on data…
-
Bias and Fairness of AI-Based Systems Within Financial Crime
lnbressa
Author: Danny Butvinik; Publisher: NICE Actimize; Publication Year: 2022. The following article discusses the benefits of addressing bias in artificial intelligence (AI)-based systems and provided a “Fairness-Aware Culture” guideline for addressing this issue. The guideline focused on both the level of nontechnical self-assessment and the level of technical controls and means of evaluation. The guideline…
-
Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults
lnbressa
Author: Charlene Chu et al.; Publisher: The Gerontologist, Volume 62; Publication Year: 2022. The following paper explores the impacts of ageism and technology. They define “digital ageism” as the repercussions of bias against older individuals in the digital age. Ageism is formally defined as prejudicial attitudes toward older adult populations and the process of aging,…
-
4 Principles of Responsible AI and Best Practices to Adopt Them
2022, Bias, Blog Article, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Notable Peoplelnbressa
Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article explores 4 principles for responsible AI design and recommends best practices. The 4 principles, along with best practices, include: 1). achieving fairness by ensuring the training data is representative of the population, analyzing outcomes among subpopulations, and continuous monitoring of the…
-
3 Components CIOs Need to Create an Ethical AI Framework
lnbressa
Author: Anand Rao; Publisher: Information Week; Publication Year: 2021. The following article describes how only 20% of companies report having an ethical artificial intelligence framework in place, and just 35% have plans to improve the governance of AI systems and processes in 2021, according to PwC data. Every CIO needs a responsible AI plan before…
-
Reducing Bias in AI-Based Financial Services
2020, Banking & Finance, Bias, Communities of Practice, Diversity, Equity & Inclusion, Education & Training, Frameworks, Industry-Specific, News Articlelnbressa
Author: Aaron Klein; Publisher: The Brookings Institution; Publication Year: 2020. The following paper goes in depth regarding why establishing and maintaining proper data governance programs and ethical data frameworks are so important to financial institutions. As AI technologies have grown to more prominence, so have issues that have arisen with them. There have already been…
-
What Is Data Ethics and How Can Storage Improve Ethics Best Practices?
Author: N/A; Publisher: Pure Storage; Publication Year: N/A. The following article introduces the topic of data ethics by stating that it answers the questions “how can our organization collect, store, and use data ethically?” and also “what consumer rights must we protect?” The article emphasizes the importance of knowing the risks associated with data ethics…
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