Robotics & Machine Learning Daily News2024,Issue(Jul.1) :57-58.

Investigators from University of Freiburg Have Reported New Data on Robotics (Fa irness and Bias In Robot Learning)

弗赖堡大学的研究人员报告了机器人学的新数据(机器人学习中的模糊和偏见)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :57-58.

Investigators from University of Freiburg Have Reported New Data on Robotics (Fa irness and Bias In Robot Learning)

弗赖堡大学的研究人员报告了机器人学的新数据(机器人学习中的模糊和偏见)

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摘要

Rese Arch说:“机器学习(ML)显著增强了机器人的能力。”让他们能够在人类环境中执行广泛的任务,并适应我们不确定的现实世界。最近在各种ML领域的工作强调了考虑公平的重要性,以确保这些算法不会复制人类偏见,从而导致歧视性结果。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting out of Freiburg, Germany, by NewsRx editors, rese arch stated, “Machine learning (ML) has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real world. Recent works in various ML domains have high lighted the importance of accounting for fairness to ensure that these algorithm s do not reproduce human biases and consequently lead to discriminatory outcomes .”

Key words

Freiburg/Germany/Europe/Emerging Tech nologies/Machine Learning/Robot/Robotics/University of Freiburg

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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