Results 231 to 240 of about 145,182 (282)

Algorithmic Bias

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Algorithms and decision making based on Big Data have become pervasive in all aspects of our daily lives lives (offline and online), as they have become essential tools in personal finance, health care, hiring, housing, education, and policies. It is therefore of societal and ethical importance to ask whether these algorithms can be discriminative on ...
Sara Hajian, Francesco Bonchi, Carlos Castillo   +2 more
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Fighting algorithmic bias

Physics World, 2021
Physicists are increasingly developing artificial intelligence and machine learning techniques to advance our understanding of the physical world but there is a rising concern about the bias in such systems and their wider impact on society at large. Julianna Photopoulos explores the issues of racial and gender bias in AI – and what physicists can do ...
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Algorithmic bias: Looking beyond data bias to ensure algorithmic accountability and equity

MIT Science Policy Review, 2023
As algorithms increasingly aid public sector decision making in the United States, it becomes important to understand how to effectively tackle algorithmic bias in systems that local, state, and federal government entities use and procure, including what kinds of policies are currently in place or proposed.
Savannah Thais, Hannah Shumway, Austin I. Saragih   +2 more
openaire   +1 more source

Algorithms and Bias

2021
Initially, automated decision-making was seen as a corrective to discrimination: no longer would one biased individual be able to allow his or her prejudices to control decisions about employment, housing, banking, or criminal justice. However, this promise has not been fulfilled.
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Algorithmic and egocentric bias

2022
Two experiments on the interplay of algorithmic and human ...
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Addressing Algorithmic Bias

As artificial intelligence (AI) systems increasingly make decisions in areas such as justice, health, and finance, issues related to algorithmic biases have risen to prominence when discussing equity and inclusion. This chapter investigates how prejudices are built into data and model specifications, and how they can contribute to further entrenching ...
Abhishek Benedict Kumar, Karun Sanjaya
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Assembled Bias: Beyond Transparent Algorithmic Bias

Minds and Machines, 2022
Robyn Repko Waller, Russell L. Waller
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Asian Women and Algorithmic Bias

2022
Current research has determined how additional factors like race, class, socioeconomic status, etc., all intersect to determine a woman’s experience in the world but what is lacking is how search engines and social media have perpetuated racist and sexist tropes against Asian women.
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Human bias in algorithm design

Nature Human Behaviour, 2023
Carey K. Morewedge, Sendhil Mullainathan, Haaya F. Naushan, Cass R. Sunstein, Jon Kleinberg, Manish Raghavan, Jens O. Ludwig   +6 more
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Algorithms, platforms, and ethnic bias

Communications of the ACM, 2019
How computing platforms and algorithms can potentially either reinforce or identify and address ethnic biases.
Selena Silva, Martin Kenney
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