-
New AI Can Guess Whether You’re Gay or Straight from a Photograph
lnbressa
Author: Sam Levin; Publisher: The Guardian; Publication Year: 2017. The following article discusses how an artificial intelligence, developed by Stanford University, was used to guess people’s sexualities based on photos of their faces. The algorithm was 81% accurate with men and 74% with women. As many LGBTQ people face discrimination and harassment, the algorithm had…
-
A Beauty Contest was Judged by AI and the Robots Didn’t like Dark Skin
lnbressa
Author: Sam Levin; Publisher: The Guardian; Publication Year: 2016. The following article discusses how in 2016, the first artificial intelligence (AI) judged beauty contest was conducted. The objective factors included facial symmetry and wrinkles. Beauty.AI, created by Youth Laboratories and supported by Microsoft, received 6,000 submissions from over 100 countries to identify those who resembled…
-
Can We Build AI Without Losing Control Over It?
lnbressa
Author: Sam Harris; Publisher: TED; Publication Year: N/A. The following talk emphasizes the importance of knowing what we are developing in artificial intelligence (AI) and how it could potentially affect us. While we keep developing intelligent machines, we are not doing enough to figure out how to create conditions in which we can use these…
-
Big Tech and Data Ethics
lnbressa
Author: Sam Gilbert; Publisher: Bennett Institute of Public Policy, Cambridge; Publication Year: 2020. The following article discusses the following topics with respect big tech companies: privacy and surveillance; bias; discrimination; and injustice in algorithmic decisioning; encoding of ethical assumptions in autonomous vehicle systems; artificial general intelligence as an existential risk to humanity; software user interface…
-
Gaps in Measuring and Mitigating Implicit Bias in Healthcare
lnbressa
Author: Sally Arif; Publisher: National Library of Medicine; Publication Year: 2021. The following article focusses on how recent studies have shown that healthcare providers hold unconscious bias through the use of the Implicit Association Test (IAT). The IAT was developed in 1998 and is the now the most readily available computerized online tool used to…
-
Ethical AI Governance Framework
lnbressa
Author: N/A; Publisher: Saidot; Publication Year: 2021. The following article outlines 6 building blocks of an ethical artificial intelligence (AI) governance framework. These include strategy and values (acceptable use of AI in alignment with business strategy); people and culture (human competencies and cultural capabilities to enable and support the development and use of AI in…
-
Big Data Ethics: Weaving ethics into the fabric of Big Data
lnbressa
Author: Sahana Rajan; Publisher: Suyati; Publication Year: 2015. The following article discusses how as big data becomes more common, what are the boundaries of data ethics? Intricate data processing can open up the possibility of gaining access to private data. We are influenced daily by big data through personalized advertisements. We need to redefine the…
-
How Biased Are Our Algorithms?
2014, Bias, Code of Ethics, Diversity, Equity & Inclusion, Social Justice, Underrepresented Author, Videolnbressa
Author: Safiya Umoja Noble; Publisher: TEDx Talks; Publication Year: 2014. The following video initially discusses how the speaker is not the same skin tone as her white mother. She then goes into discussing the cultural revolution that was happening during her childhood in the 70s and 80s. In referencing a study that was done in…
-
Big Data Ethics and 10 Controversial Data Science Experiments
lnbressa
Author: Sabrina Dominguez; Publisher: Data Science Dojo; Publication Year: 2018. In the following article, Sabrina Dominguez summarizes 10 controversial data science projects involving big data. She looks at these examples through a business lens, with the goal of effectively marketing to customers. Even when trying to make a profit however, data ethics must still be…
-
Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems
2016, Bias, Code of Ethics, Diversity, Equity & Inclusion, Notable People, Research Article, Social Justicelnbressa
Author: Sabina Leonelli; Publisher: The Royal Society; Publication Year: 2016. The following article talks about the challenges produced in data science around the responsibilities and accountabilities of individuals in the industry. The author advocates a flexible, participative management of data practices. Regulatory agencies should be responsible for encouraging data scientists to examine ethical implications of…
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