Keyword Analysis & Research: algorithmic bias

Keyword Analysis

Keyword	CPC	PCC	Volume	Score	Length of keyword
algorithmic bias	0.57	0.3	6601	75	16
algorithmic	0.37	0.1	8217	97	11
bias	0.59	0.5	6467	97	4

Keyword	CPC	PCC	Volume	Score
algorithmic bias	0.06	1	7678	58
algorithmic bias definition	1.02	0.5	716	34
algorithmic bias examples	1.14	0.2	6475	2
algorithmic bias in ai	0.43	0.1	4659	4
algorithmic bias in education	0.02	0.1	9373	53
algorithmic bias trading bot ai algorithms	0.3	0.3	3293	87
algorithmic bias playbook	1.93	0.5	4052	65
algorithmic bias and discrimination	0.24	1	5700	71
algorithmic bias in healthcare	1.93	0.3	6914	68
algorithmic bias and fairness	1.69	0.6	6011	81
algorithmic bias in autonomous systems	0.18	0.4	8830	44
algorithmic bias caused by bad data	1.39	0.7	5382	42
algorithmic bias in social media	1.27	0.7	3061	3
what is algorithmic bias	0.45	0.2	9248	39
example of algorithmic bias	1.61	1	3450	57
algorithmic bias meaning	0.57	0.4	8287	15
what is algorithmic bias in ai	1.11	0.9	4459	88
types of algorithmic bias	0.68	0.3	7557	10
algorithmic bias detection and mitigation	1.24	0.4	760	52

Algorithmic bias - Wikipedia
wikipedia.org

https://en.wikipedia.org/wiki/Algorithmic_bias

WEBThe study of algorithmic bias is most concerned with algorithms that reflect "systematic and unfair" discrimination. This bias has only recently been addressed in legal frameworks, such as the European Union's General Data Protection Regulation (2018) and the proposed Artificial Intelligence Act (2021).

DA: 98 PA: 3 MOZ Rank: 42

What is Algorithmic Bias? | DataCamp
datacamp.com

https://www.datacamp.com/blog/what-is-algorithmic-bias

WEBAlgorithmic 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.

DA: 44 PA: 52 MOZ Rank: 77

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
hbr.org

https://hbr.org/2023/09/eliminating-algorithmic-bias-is-just-the-beginning-of-equitable-ai

WEBSep 29, 2023 · AI and machine learning. Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI. by. Simon Friis. and. James Riley. September 29, 2023. HBR Staff/Imansyah Muhamad Putera/Unsplash....

DA: 43 PA: 99 MOZ Rank: 47

Algorithmic bias detection and mitigation: Best practices and …
brookings.edu

https://www.brookings.edu/articles/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/

WEBMay 22, 2019 · Our research presents a framework for algorithmic hygiene, which identifies some specific causes of biases and employs best practices to identify and mitigate them. We also present a set of...

DA: 100 PA: 73 MOZ Rank: 71

Algorithmic Bias: What It Is and Why It Matters | Built In
builtin.com

https://builtin.com/data-science/auditing-algorithms-data-science-bias

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 …

DA: 14 PA: 45 MOZ Rank: 93

Algorithmic Bias: What is it, and how to deal with it? - Pluralsight
pluralsight.com

https://www.pluralsight.com/resources/blog/cloud/algorithmic-bias-explained

WEBJun 8, 2023 · Algorithmic bias is a huge barrier to fully realizing the benefit of machine learning. We cover what it is, how it presents itself, and how to minimize it. In this article, I break down what algorithmic bias is, how it presents itself in machine learning systems, and how it can be mitigated.

DA: 60 PA: 63 MOZ Rank: 77

Algorithmic Bias: Why Bother? | California Management Review
berkeley.edu

https://cmr.berkeley.edu/2020/11/algorithmic-bias/

WEBNov 17, 2020 · Though “algorithmic bias” is the popular term, the foundation of such bias is not in algorithms. It is in data. Algorithms are not biased, data is! Algorithms learn the persistent patterns that are present in the training data. Multiple attributes of training data may make an AI algorithm biased.

DA: 76 PA: 21 MOZ Rank: 90

To stop algorithmic bias, we first have to define it | Brookings
brookings.edu

https://www.brookings.edu/articles/to-stop-algorithmic-bias-we-first-have-to-define-it/

WEBOct 21, 2021 · To stop algorithmic bias, we first have to define it. Emily Bembeneck, Emily Bembeneck Director, Center for Applied AI - University of Chicago Booth School of Business. Rebecca Nissan, and ...

DA: 79 PA: 50 MOZ Rank: 42

Algorithmic Bias in Health Care Exacerbates Social | Executive …
harvard.edu

https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/

WEBMar 12, 2021 · Algorithmic Bias in Health Care Exacerbates Social Inequities — How to Prevent It. As AI plays an increasingly important role in health care, it’s crucial for algorithms to be developed in a way that does not exacerbate social inequities in health care. by Katherine J. Igoe. Share this: Facebook Twitter LinkedIn Reddit.

DA: 43 PA: 28 MOZ Rank: 65

Algorithmic Bias: A Challenge for Ethical Artificial Intelligence (AI
springer.com

https://link.springer.com/chapter/10.1007/978-981-99-8834-1_5

WEBDec 31, 2023 · Algorithmic bias is a discriminatory case of algorithmic outcomes having an adversarial impact on protected or unprotected groups. It occurs when algorithms distribute benefits and burdens unequally among different stakeholders due to differences in their characteristics, talents, or luck (Akter et al., 2021; Kordzadeh & Ghasemaghaei, …

DA: 95 PA: 83 MOZ Rank: 81