Robotics & Machine Learning Daily News2024,Issue(Jun.26) :140-140.

Interactions of Filipino platform workers with AI systems: implications for desi gn and governance of labour platforms

菲律宾平台工人与人工智能系统的互动:对劳动平台设计和治理的影响

Robotics & Machine Learning Daily News2024,Issue(Jun.26) :140-140.

Interactions of Filipino platform workers with AI systems: implications for desi gn and governance of labour platforms

菲律宾平台工人与人工智能系统的互动:对劳动平台设计和治理的影响

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摘要

一位新闻记者——机器人与机器学习每日新闻的编辑——根据基于预印摘要的新闻报道,我们的记者从OS F.io获得了以下引述:“在全球范围内吸引大量工人的劳工平台基础上的一个关键特征是发挥劳工管理作用的人工智能和算法系统。人机通信(HMC)的研究表明,赋予人类社会线索的技术被视为独特的‘社会行为者’。”这篇评论从与人工智能系统互动的叫车和送货部门的菲律宾平台工作人员的角度出发,突出了基于位置的平台工作人员与他们的应用程序之间日常沟通经验的关键维度,这些经验围绕着能见度和不透明度、(不信任)信任等竞争经验摇摆。“我认为,工人的经历反映了他们对公平和‘人道’劳动管理的期望,这种期望产生了重要的治理含义,并呼吁重新思考支撑Labou R平台的算法和人工智能系统的设计。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: "A crucial feature underpinning labour platforms that attract vast numbers of wo rkers globally are artificial intelligence and algorithmic systems that perform labour management roles. Research in humanmachine communication (HMC) suggests that technologies endowed with human social cues are perceived as distinct 'soci al actors,' evoking responses from users or prompting users to seek responses fr om them. Drawing from the perspectives of Filipino platform workers in the ride- hailing and delivery sectors that interact with AI systems, this commentary high lights key dimensions of daily communicative experiences between location-based platform workers and their apps that oscillate around the competing experiences of visibility and opacity, (dis)trust, and care and surveillance. I argue that w orkers' experiences reflect their expectations of equitable and 'humane' labour management that yield important governance implications and call for rethinking the design of algorithms and artificial intelligence systems that underpin labou r platforms."

Key words

Artificial Intelligence/Emerging Techno logies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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