Tag: Algorithms

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…
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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…
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AlgorithmWatch Forced to Shut Down Instagram Monitoring Project After Threats from Facebook

Algorithms, Facebook, Instagram, Social Media, Transparency, User Privacy

Author: Nicolas Kayser-Bril; Publisher: AlgorithmWatch; Publication Year: 2020. The following article attempts to explore what drives the Instagram algorithm’s recommendations on people’s timelines led to a serious response form Facebook looking to shut it down.…
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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…
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The Biases We Feed to Tinder Algorithms

Algorithms, Dating Apps, Discriminatory Practices, Elo-Score, Tinder

Author: N/A; Publisher: Diggit Magazine; Publication Year: 2019. The following article discusses how algorithms play a crucial role in overall participation in public life. When it comes to apps similar to Tinder, scholars stress the…
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5 Ethical Questions in Data Science

Algorithms, Consent, Data Science, Discrimination, Human Bias, Transparency

Author: N/A; Publisher: Future Learn; Publication Year: N/A. The following article discusses how data science has increased rapidly; however, the concerns around the ethical use of it by organizations have risen alongside it. We have…
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Fairlearn

Algorithms, Artificial Intelligence, Fairlearn, Fairness, Unfairness Mitigation

Author: Miro Dudik; Publisher: Fairlearn; Publication Year: N/A. The following tool is Fairlearn which is a open-source project that helps data scientists improve fairness of their artificial intelligence (AI) systems. It includes a python library…
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Algorithms Are Making Economic Inequality Worse

Algorithms, Economic Inequality, Gig Laborers, Surveillance, Worker Exploitation

Author: Mike Walsh; Publisher: Harvard Business Review; Publication Year: 2020. The following article discusses how the algorithms we design can be used to exploit workers and create an underclass of gig laborers who have no…
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Lies, Racism and Sexism: The Power of Data Stories

Algorithms, Artificial Intelligence, Blind Faith, Facial Recognition Systems, Storytelling

Author: Mike Bugembe; Publisher: TED; Publication Year: N/A. The following talk discusses how algorithms inherently have bias and there is a common problem of blind faith in data. Blind faith in data is trusting whatever…
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