The Future of Work Is Here: Toward a Comprehensive Approach to
Artificial Intelligence and Labour
- URL: http://arxiv.org/abs/2007.05843v2
- Date: Wed, 15 Jul 2020 19:23:52 GMT
- Title: The Future of Work Is Here: Toward a Comprehensive Approach to
Artificial Intelligence and Labour
- Authors: Julian Posada
- Abstract summary: It argues that current discussions on AI and labour focus on the deployment of these technologies in the workplace.
It recommends using existing human rights frameworks for working conditions to provide more comprehensive ethical principles and regulations.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: This commentary traces contemporary discourses on the relationship between
artificial intelligence and labour and explains why these principles must be
comprehensive in their approach to labour and AI. First, the commentary asserts
that ethical frameworks in AI alone are not enough to guarantee workers' rights
since they lack enforcement mechanisms and the representation of different
stakeholders. Secondly, it argues that current discussions on AI and labour
focus on the deployment of these technologies in the workplace but ignore the
essential role of human labour in their development, particularly in the
different cases of outsourced labour around the world. Finally, it recommends
using existing human rights frameworks for working conditions to provide more
comprehensive ethical principles and regulations. The commentary concludes by
arguing that the central question regarding the future of work should not be
whether intelligent machines will replace humans, but who will own these
systems and have a say in their development and operation.
Related papers
- Towards Responsible AI in Banking: Addressing Bias for Fair
Decision-Making [69.44075077934914]
"Responsible AI" emphasizes the critical nature of addressing biases within the development of a corporate culture.
This thesis is structured around three fundamental pillars: understanding bias, mitigating bias, and accounting for bias.
In line with open-source principles, we have released Bias On Demand and FairView as accessible Python packages.
arXiv Detail & Related papers (2024-01-13T14:07:09Z) - Report of the 1st Workshop on Generative AI and Law [78.62063815165968]
This report presents the takeaways of the inaugural Workshop on Generative AI and Law (GenLaw)
A cross-disciplinary group of practitioners and scholars from computer science and law convened to discuss the technical, doctrinal, and policy challenges presented by law for Generative AI.
arXiv Detail & Related papers (2023-11-11T04:13:37Z) - Stronger Together: on the Articulation of Ethical Charters, Legal Tools,
and Technical Documentation in ML [5.433040083728602]
The need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science.
We first contrast notions of compliance in the ethical, legal, and technical fields.
We then focus on the role of values in articulating the synergies between the fields.
arXiv Detail & Related papers (2023-05-09T15:35:31Z) - Fairness in Agreement With European Values: An Interdisciplinary
Perspective on AI Regulation [61.77881142275982]
This interdisciplinary position paper considers various concerns surrounding fairness and discrimination in AI, and discusses how AI regulations address them.
We first look at AI and fairness through the lenses of law, (AI) industry, sociotechnology, and (moral) philosophy, and present various perspectives.
We identify and propose the roles AI Regulation should take to make the endeavor of the AI Act a success in terms of AI fairness concerns.
arXiv Detail & Related papers (2022-06-08T12:32:08Z) - On some Foundational Aspects of Human-Centered Artificial Intelligence [52.03866242565846]
There is no clear definition of what is meant by Human Centered Artificial Intelligence.
This paper introduces the term HCAI agent to refer to any physical or software computational agent equipped with AI components.
We see the notion of HCAI agent, together with its components and functions, as a way to bridge the technical and non-technical discussions on human-centered AI.
arXiv Detail & Related papers (2021-12-29T09:58:59Z) - In Oxford Handbook on AI Governance: The Role of Workers in AI Ethics
and Governance [0.0]
This chapter looks at the role that workers play in identifying and mitigating harms from AI technologies.
There is high consensus in the AI ethics community on the benefits of reducing harms but less consensus on mechanisms for determining or addressing harms.
This chapter argues that workers occupy a unique role in identifying and mitigating harms caused by AI systems.
arXiv Detail & Related papers (2021-08-05T13:18:48Z) - An Ethical Framework for Guiding the Development of Affectively-Aware
Artificial Intelligence [0.0]
We propose guidelines for evaluating the (moral and) ethical consequences of affectively-aware AI.
We propose a multi-stakeholder analysis framework that separates the ethical responsibilities of AI Developers vis-a-vis the entities that deploy such AI.
We end with recommendations for researchers, developers, operators, as well as regulators and law-makers.
arXiv Detail & Related papers (2021-07-29T03:57:53Z) - Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society.
A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests.
This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
arXiv Detail & Related papers (2021-06-25T22:31:55Z) - AI and Shared Prosperity [0.0]
Future advances in AI that automate away human labor may have stark implications for labor markets and inequality.
This paper proposes a framework to analyze the effects of specific types of AI systems on the labor market, based on how much labor demand they will create versus displace.
arXiv Detail & Related papers (2021-05-18T12:37:18Z) - An Ecosystem Approach to Ethical AI and Data Use: Experimental
Reflections [0.0]
This paper offers a methodology to identify the needs of AI practitioners when it comes to confronting and resolving ethical challenges.
We offer a grassroots approach to operational ethics based on dialog and mutualised responsibility.
arXiv Detail & Related papers (2020-12-27T07:41:26Z) - Hacia los Comit\'es de \'Etica en Inteligencia Artificial [68.8204255655161]
It is priority to create the rules and specialized organizations that can oversight the following of such rules.
This work proposes the creation, at the universities, of Ethical Committees or Commissions specialized on Artificial Intelligence.
arXiv Detail & Related papers (2020-02-11T23:48:31Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.