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…
Author: Daniel Schreiber; Publisher: Lemonade; Publication Year: N/A. The following article discusses how the availability of big data and improvement in computing power now allows insurance companies to price more fairly in terms of premium…
Author: Damini Gupta, T. S. Krishnan; Publisher: California Review Management; Publication Year: 2020. The following article highlights the importance and the need to reduce algorithmic bias. The article starts by recognizing that human bias will…
Author: N/A; Publisher: Miro; Publication Year: N/A. The following visualization highlights the impact of bias in several aspects of the machine learning lifecycle. One point discussed frequently is the patterns of bias and discrimination baked…
Author: N/A; Publisher: The Corporate Financial Institute; Publication Year: 2023. The following article covers multiple forms of overconfidence that can be found in analysts in the financial industry. There were 4 types that are discussed:…
Author: Cem Dilmegani; Publisher: AI Multiple; Publication Year: 2022. The following article describes how in the imperfect world, AI can’t be expected to be completely unbiased. However, there are various ways to minimize bias by…
Author: Caslee Sims; Publisher: SAS; Publication Year: 2021. The following article talks about how algorithms and predictive models in health care and criminal justice can change the trajectory of someone’s life. Caslee provides two important…
Author: Carolyn Y. Johnson; Publisher: The Washington Post; Publication Year: 2019. The following article describes how algorithms are created with the intention of eliminating bias, such as racial bias, but there are variables that can…