Definition 2 (Socially Responsible AI Algorithms) Socially Responsible AI Algo- rithms are the intelligent algorithms that prioritize the needs of all stakeholders as the highest priority, especially the minoritized and disadvantaged users, in order to make just and trustworthy decisions.
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Mar 10, 2021 · Algorithms and formal models will never stop being used in order to improve how decisions are taken both by humans and machines. It is upon the ...
Dec 6, 2020 · The paper makes a short overview of the scientific investigation around this topic, showing that the development, existence and use of such ...
Social Responsibility of Algorithms 2022 (SRA22) was held virtually on 13-17 June 2022 (UTC). SRA22 was the third workshop in the SRA series, and focused on ...
Jul 31, 2024 · While algorithms benefit humanity, they can also result in discrimination and reinforce injustice. This article begins by defining algorithms ...
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges•We look beyond prior research in socially responsible AI and identify an extensive list ...
The goal of this document is to help developers and product managers design and implement algorithmic systems in publicly accountable ways.
Nov 10, 2021 · Abstract. Should we be concerned by the massive use of devices and algorithms which automatically handle an increasing number of everyday ...
The correlation fallacy causes AI algorithms to meet with fundamental obstacles in order to commit social responsibility. These obstacles are robustness ...
Apr 4, 2024 · Results: By adhering to these principles and implementing a Social Impact Statement, algorithms can be more ethically aligned, reducing biases ...