AIUnion.net is for sale!
Shaping the new world of work – how unions should address Artificial Intelligence (AI)
UNI Europa ICTS has published a position paper on Artificial Intelligence that highlights how unions should engage in the debate on AI, especially with regards to collective bargaining.
Joining the ongoing European and global debate, UNI Europa ICTS has published a strategic position paper on Artificial Intelligence (AI). Oliver Roethig, UNI Europa Regional Secretary, underlines the key trade union message:
“AI is changing the world of work in services. For services unions, AI must enhance the quality of services, and that requires an employee-centred perspective. The best way to achieve this is collective bargaining, especially at sectoral level.”
UNI Europa ICTS wants to empower their members as they enter the new world of work in the coming years, and to raise awareness about the opportunities and the risks that AI represents related to the quality and quantity of work, skills and training, ethics, equality, health and safety, and the capacity to organise effectively.
Trade unions have a key role to play as the labour market of the future takes shape. UNI Europa ICTS wants a fair and Just Transition towards a society in which AI systems benefit everyone, no one is left behind, and the skills and competencies of individual workers are respected and valued. Trade unions should proactively shape this vision, and we must begin by addressing AI issues in collective bargaining now.
In this report, UNI Europa ICTS focuses on three key topics regarding AI – data collection and management, skills and training and a Just Transition – whilst highlighting several ways that trade unions must engage in within the AI debate to protect and enhance workers’ rights, human rights, and decent working standards.
The position paper and its executive summary are available in English, French, German, Spanish and Swedish.
Please find the AI position paper and an executive summary in different languages here:
© UNI Europa 2022
The future of labor unions in the age of automation and at the dawn of AI
What the draft European Union AI regulations mean for business
Proposed EU rules are just one more step toward global AI regulation. Here’s how smart organizations are preparing for compliance—and managing AI risk.
What types of AI systems fall under the proposed EU regulation?
The regulation divides AI systems into three categories: unacceptable-risk AI systems, high-risk AI systems, and limited- and minimal-risk AI systems (Exhibit 1). Organizations can use this framework as a starting point in developing their own internal risk-based taxonomies. However, they should understand that the regulation’s risk framework focuses exclusively on the risks AI poses for the public, not the broader set of AI risks to organizations themselves—for example, the risk of losses due to misclassified inventory.
An intelligent union for the future of AI
A university-industry-government partnership is seeking to recruit talented researchers to advance AI research and meet industrial needs.
From robots to facial recognition, artificial intelligence (AI) has become part of everyday life and is reshaping the workplace. As part of China’s push to advance its high-tech industries, in 2017, the state council launched the Next Generation Artificial Intelligence Development Plan in mid-2017, outlining a national ambition to become a leading AI power by 2030. Soon after guidelines were established, Zhejiang Lab was founded in Hangzhou.
An initiative by the Zhejiang provincial government has seen Zhejiang University join forces with China’s e-commerce giant, Alibaba Group. With 30 billion RMB in government funding, Zhejiang Lab was set up to meet industry’s AI needs. It aims to deliver original and innovative research in intelligent perception, computation, network and systems through major projects and building big science facilities.
“We want to create a novel ecosystem for R&D of new-generation digital technologies,” said Zhu Shiqiang, the lab director.
With the growing amount of big data and use of cloud computing, information security is becoming a major concern, and the lab’s intelligent network studies seek to tackle cyber security challenges. Mimicking defence theories and technologies offers a solution to industrial cyber security threats by using a dynamic, heterogeneity and redundancy mechanism. The Zhejiang Lab has established an industrial internet research centre to accelerate such technologies. By establishing cloud-based platforms and experimental sites for industrial internet, the lab is advancing intelligence-driven defence that is active and dynamic.
For more information about global top talent recruitment, please contact: email@example.com