Category: Blog Article

Eight Best Books on AI Ethics and Bias

AI Bias, AI Ethics

Author: Nivash Jeevanandam; Publisher: India AI; Publication Year: 2022. The following article provides a list and brief summary of eight books that address AI ethics and bias…
read more >>
Ethical Use of AI in Hiring

Accuracy, AI Privacy, AI Usage, Algorithms, Artificial Intelligence, Candidate Success, Fairness, Hiring, Talent Acquisition

Author: Nina Alag Suri; Publisher: LinkedIn; Publication Year: 2021. The following article describes how artificial intelligence (AI) plays an important role in talent acquisition and can make more precise predictions of candidate success. In order…
read more >>
Is Amazon Alexa Invading Privacy? Analysis of an Ethical Dilemma

Amazon, Amazon Echo, Consumer Privacy, Personal Data, Smart Home Device

Author: Nils Backe; Publisher: Medium; Publication Year: 2018. The following article discusses how the majority of consumers are still wary of the risk factors weighing into using a smart home device, particularly an Amazon Echo.…
read more >>
Artificial Intelligence in Healthcare: Providing Ease or Ethical Dilemmas?

Accuracy, Algorithms, Artificial Intelligence, Data Usage, Machine Learning, Medical Research, Patient Care

Author: Nils Aoun, Chloé Currie, Itai Epstein, and Chaaron Nahar; Publisher: Maiei; Publication Year: 2022. The following article covers how research in medicine by people is at a plateau, many of the recent advancements are…
read more >>
The Rise of Data and AI Ethics

Data Analytics, Data Ownership, Discrimination, Government Regulation, Transparency

Author: Nihar Dalmia, David Schatsky; Publisher: Deloitte. Insights; Publication Year: 2019. The following article provides a brief overview of how governments could and should be involved in the regulation of data ownership. Unlike so many…
read more >>
Algorithmic Bias Detection and Mitigation: Best Practices and Policies to Reduce Consumer Harms

Algorithmic Hygiene, Automation, Incentives, Stakeholder Engagement

Author: Nicole Turner Lee, Paul Resnick, Genie Barton; Publisher: Brookings; Publication Year: 2019. The following article introduces a framework for algorithmic hygiene which lists specific causes of bias with best practices on how to recognize…
read more >>
Automated Translation is Hopelessly Sexist, but Don’t Blame the Algorithm or the Training Data

Automated Translation Services, Gender Stereotypes, Language Translation Datasets, Training Data

Author: Nicolas Kayser-Bril; Publisher: Algorithm Watch; Publication Year: N/A. The following article discusses how automated translation services tend to erase women or reduce them to stereotypes. Simply tweaking the training data or the models is…
read more >>
Algorithmic Bias Detection and Mitigation: Best Practices and Policies to Reduce Consumer Harms

Algorithms, Artificial Intelligence, Bias Mitigation, Human Bias, Technical Diligence

Author: Nicol Turner Lee, Paul Resnick, Genie Barton; Publisher: Brookings; Publication Year: 2019. The following piece describes how artificial intelligence (AI) is being used to manage greater aspects of our economy. There is risk that…
read more >>
Making Trust a Priority: A Framework for the Ethical Use of Data

Choice, Data Creation, Data Policies, Fairness, Safety, Security, Transparency

Author: Nicholas Knoop; Publisher: Medium; Publication Year: 2021. The following article discusses how with the global creation of data is expected to reach 180 zettabytes by 2025, and there is a growing imperative for data…
read more >>