Search Results for “Bias” – Page 11

Search results for: “Bias”

AI Bias Could Put Women’s Lives At Risk – A Challenge For Regulators

Artificial Intelligence, Data Collection, Discrimination, European Union, Gender, Gender Bias, Gender Gap

Author: Carmen Neithammer; Publisher: Forbes; Publication Year: 2020. The following article touches on the bias that is introduced into algorithms by using data sets that are comprised mainly of information about the male population. A…
read more >>
LUCID: Exposing Algorithmic Bias through Inverse Design

Decision-Making, Equality of Outcomes, Equality of Treatment, Locating Unfairness through Canonical Inverse Design, LUCID, Output Metrics, Statistics

Author: Carmen Mazijn, Carina Prunkl, Andres Algaba; Publisher: Institute for Ethics in AI, Oxford University; Publication Year: 2022. The following paper discusses how artificial intelligence systems can generate, propagate, support, and automate bias in decision-making…
read more >>
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics

Algorithms, Training Data

Author: Bo Cowgill, Fabrizio Dell’Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau; Publisher: Navigating the Broader Impacts of AI Research Workshop at the 34th Conference on Neural Information Processing Systems; Publication Year: 2020. The…
read more >>
Ethical Issues Arising Due to Bias in Training A.I. Algorithms in Healthcare and Data Sharing as a Potential Solution

AI Training Models, Algorithmic Bias, Data Sharing, Generalizability, Healthcare, Machine Learning

Author: Bilwaj Gaonkar Ph.D., Kirstin Cook B.A., Luke Macyszyn M.D.; Publisher: The AI Ethics Journal; Publication Year: 2020. The following article features authors that explain that each time a human makes a decision in modeling,…
read more >>
P-Curve: A Tool for Detecting Publication Bias

Academic Integrity, Academic Research, P-Curve, P-Hacking

Author: Uri Simonsohn, Leif D. Nelson, and Joseph P. Simmons.; Publisher: Berkeley Initiative for Transparency in the Social Sciences; Publication Year: 2014. The following article overviews the concept of the “P-curve,” a tool that can…
read more >>
Detecting and Mitigating Bias in Natural Language Processing

Artificial Intelligence, Biased Word Embeddings, Debiasing, Decision-Making, Regulation, Word Embedding

Author: Aylin Caliskan; Publisher: Brookings; Publication Year: 2021. The following article looks at how billions of people using the internet every day are exposed to biased word embeddings. However, word embedding debiasing is not a…
read more >>
Biased AI is Not Just Bad for People, It’s Harmful for Businesses, Too

Artificial Intelligence, Biased AI, Biased AI Systems, Profitability, Virality

Author: Arthur Cole; Publisher: Venture Beat; Publication Year: 2021. The following article addresses social justice and ethical concerns regarding biased AI systems while also describing how biased AI systems can also be detrimental to businesses’…
read more >>
Bad, biased, and unethical uses of AI

Admissions, Algorithms, Algorithms of Oppression, Amazon, Artificial Intelligence, Data Collection, Discrimination, Gender Bias, Hiring Software, LinkedIn, Medical School, Redlining, Transparency, UCLA

Author: Anthony Macciola; Publisher: The Enterprisers Project; Publication Year: 2019. The following article provides 4 examples of bad, biased, or unethical uses of AI, as well as guidance for Chief Information Officers (CIOs) on how…
read more >>
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Brands, Celebrities, Data Processing, Data Sources, Decision-Making, Economics, Ethical Considerations, Healthcare, Public Policy, Social Data, Social Issues

Author: Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman; Publisher: Frontiers; Publication Year: 2019. The following article discusses how the promises of social data are many, including understanding “what the world thinks” about a social…
read more >>

Data Ethics Repository

I want to know more about…

Search results for: “Bias”

AI Bias Could Put Women’s Lives At Risk – A Challenge For Regulators

LUCID: Exposing Algorithmic Bias through Inverse Design

Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics

P-Curve: A Tool for Detecting Publication Bias

Detecting and Mitigating Bias in Natural Language Processing

Biased AI is Not Just Bad for People, It’s Harmful for Businesses, Too

Bad, biased, and unethical uses of AI