Article citationsMore>>

Uzzi, B. (2020) A Simple Tactic that Could Help Reduce Bias in AI. Harvard Business Review.
https://hbr.org/2020/11/a-simple-tactic-that-could-help-reduce-bias-in-ai

has been cited by the following article:

• TITLE: Understanding Factors of Bias in the Way Information Is Processed Through a Metamemetic and Multilogical Approach

  AUTHORS: Monique Cardinal

  KEYWORDS: Information Ecology, Algorithms, Memetics, Bias Reduction

  JOURNAL NAME: Intelligent Information Management, Vol.14 No.2, March 31, 2022

  ABSTRACT: Training in complex thinking is required in fields like computer science and discussing sensitive topics that can easily polarize internet users’ propensities. Multilogicality and Metamemetic reasoning are strongly suggested as an approach to identifying and analyzing factors related to AI Bias and human biases. This approach entails identifying problems and deducting invalid premises, distinguishing them from valid premises or those we are uncertain about. The theme of this paper focuses on four groups of people: curators, developers, businesses, and users (the fourth group being the main focus). This approach offers a new way to apply critical thinking strategies in the context of living in a digital age.