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people and algorithms


The Latest Online Culture War Is Humans vs. Algorithms - WIRED

The Latest Online Culture War Is Humans vs. Algorithms. Ever feel like Instagram or TikTok algorithms know you a bit too well? The backlash ...

To What Extent Do People Follow Algorithms' Advice More Than ...

Algorithms can enable faster, more effective decision making in domains ranging from medical diagnosis to the choice of a romantic partner.

People see more of their biases in algorithms - PNAS

Abstract. Algorithmic bias occurs when algorithms incorporate biases in the human decisions on which they are trained. We find that people see more of their ...

Human preferences toward algorithmic advice in a word association ...

On one hand, humans are responsive to algorithmic advice. On the other hand, algorithmic advice may not improve human performance. Coupled with ...

Want to fight misinformation? Teach people how algorithms work

Our study suggests that educating people about how algorithms work and how information is selected on social media could be a promising ...

When people and algorithms meet: user-reported problems in ...

Abstract. The complex nature of intelligent systems motivates work on supporting users during interaction, for example through explanations. However, there is ...

AI, ALGORITHMS, AND AWFUL HUMANS - Fordham Law Review

Human and machine decision-making often do not mix well. Humans often perform badly when reviewing algorithmic output. * Eugene L. and Barbara A ...

Algorithms and Human Rights: Understanding Their Impacts

As the use of algorithms and artificial intelligence increases across governments in decision-making processes, human rights impact assessments ...

Digital Versus Human Algorithms | The Regulatory Review

The human brain itself operates through complex neural networks that have inspired developments in machine-learning algorithms. And when humans ...

People see more of their biases in algorithms - PubMed

Algorithmic bias occurs when algorithms incorporate biases in the human decisions on which they are trained. We find that people see more of ...

Even When Algorithms Outperform Humans, People Often Reject ...

Now, further research from Dietvorst and Booth PhD student Soaham Bharti suggests that people may not be averse to algorithms per se but rather ...

How do Humans Interact with Algorithms? Experimental Evidence ...

We propose that algorithmic recommendations can affect decision-making by influencing consumer beliefs about either product features (learning) ...

The Algorithms Too Few People Are Talking About

Algorithmic decision-making is predisposed to inflict harm if it is introduced to triage support in a benefits system that is chronically ...

How Algorithms Spread Human Bias | Corey Patrick White - YouTube

How do algorithms spread bias throughout our culture? In this talk, technology thought leader Corey Patrick White shares the dangers of ...

Challenges in Understanding Human-Algorithm Entanglement ...

Human-algorithm entanglement also appears in algorithmic content moderation, such as via account downranking (sometimes called “shadow banning” ...

People Prefer Algorithmic To Human Judgment

Updating to algorithmic advice without access to its equations or processes reflects people's willingness to listen to algorithms even with ...

On humans, algorithms and data | Emerald Insight

Coexistence – decision-making can be made together by algorithms and humans, using their professional intuition. It could be possible to tap ...

Why do people resist algorithms? From the perspective of short ...

To avoid being tracked by algorithms, users may choose tactics of algorithmic resistance. The present study indicated that the motivations of ...

Young People Learning About Algorithms - Cogitatio Press

This article focuses on young people's understanding of algorithms and their learning methods. While many younger individuals are deeply ...

When do consumers prefer algorithmic versus human ...

The results show that people opt for algorithms far more often than one would expect from scholarly and media commentary. When asked about ...