Algorithmic bias - Wikipedia
WEBAlgorithmic bias describes systematic and repeatable errors in a computer system that create "unfair" outcomes, such as "privileging" one category over another in ways different from the intended function of the algorithm.
What Is Algorithmic Bias? - IBM
WEBSep 20, 2024 · Algorithmic bias occurs when systematic errors in machine learning algorithms produce unfair or discriminatory outcomes. It often reflects or reinforces existing socioeconomic, racial and gender biases.
What is Algorithmic Bias? - DataCamp
WEBJul 17, 2023 · Algorithmic bias refers to the systemic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. It's a prevalent concern today, with artificial intelligence (AI) and machine learning (ML) applications increasingly permeating every aspect of our lives.
Algorithmic Bias: What It Is and Why It Matters | Built In
WEBJan 5, 2024 · Algorithmic bias is when algorithms commit systematic errors that unfairly favor or discriminate against certain groups of people. These biases are the result of poor training data and the biases of the humans who compiled the …
Algorithmic Bias: What is it, and how to deal with it? - Pluralsight
WEBJun 8, 2023 · Algorithmic bias presents itself when inferences are systematically less favorable to individuals from a particular group where there is no relevant difference between the groups that justifies the recommendation. Oftentimes biased recommendations disenfranchise people by denying certain opportunities given to others.
Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
WEBSep 29, 2023 · When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes.
Algorithms and bias, explained | Vox
WEBFeb 18, 2020 · Technology. Why algorithms can be racist and sexist. A computer can make a decision faster. That doesn’t make it fair. by Rebecca Heilweil. Feb 18, 2020, 9:20 AM PST. Christina Animashaun/Vox....
Algorithmic bias detection and mitigation: Best practices and …
WEBMay 22, 2019 · In this example, the decision generates “bias,” a term that we define broadly as it relates to outcomes which are systematically less favorable to individuals within a particular group and where...
Algorithmic bias: review, synthesis, and future research directions
WEBJun 6, 2021 · ABSTRACT. As firms are moving towards data-driven decision making, they are facing an emerging problem, namely, algorithmic bias. Accordingly, algorithmic systems can yield socially-biased outcomes, thereby compounding inequalities in the workplace and in society.
Algorithmic bias: Senses, sources, solutions - Fazelpour - 2021 ...
WEBJun 12, 2021 · Algorithmic bias is only one issue within the broad collection of philosophical topics often lumped together under the heading of ‘Ethics and AI’. Our focus will be algorithmic bias, but we do not thereby mean to suggest that these other issues are unimportant or uninteresting, whether philosophically or societally.