Navigating the Future of Work: Public Policies for Mitigating AI's Impact on Employment Inequality

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Navigating the Future of Work: Public Policies for Mitigating AI's Impact on Employment Inequality

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Themes

Artificial intelligence, AI, labor market, employment, public policies, inclusive innovation, research and development, R&D, Solow paradox, AI regulation, AI Bill of Rights, economic disparities, social dialogue, Global Partnership on Artificial Intelligence, creative destruction, human capital, education and training, flexicurity, Artificial Intelligence Act, cyberjustice, ethical norms, legal frameworks, innovation policies, economic growth, productivity, technological advancements, job retraining, workers' adaptation, economic theory, Joseph Schumpeter, Robert Putnam, Gary Becker, automation, economic opportunities, social capital, collaborative governance, ethical regulations, sustainable growth, workforce development, AI risks, transparency obligations, high-risk systems, automated systems, public rights, United States, European Union, Scandinavian countries, economic landscape, technological developments, industry disruption, future of work, equitable distribution, benefits of AI, AI ethics, governance, social transition, human development, well-being.

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Abstract
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Abstract

Discover how AI is reshaping the labor market and learn about public policies that can ensure a future of work that is more equitable for all. This comprehensive analysis explores the impact of artificial intelligence on employment, highlighting the need for inclusive innovation, social dialogue, and investment in education and training. Learn how governments can promote R&D, regulate AI, and implement policies that support workers' adaptation to new economic conditions, drawing inspiration from successful models like Scandinavia's flexicurity policies and the EU's Artificial Intelligence Act. Explore the importance of ethical AI regulations, human capital investment, and collaborative governance in shaping a future where AI drives growth, productivity, and well-being for all.

Extract

[...] It is also essential that support policies include actions aimed at reducing the difficulties of access to the labor market for marginalized groups. This can include financial assistance for companies that hire reconverted workers, employment mentorship and support programs, as well as initiatives to promote diversity and inclusion in the workplace. Finally, it has been shown that companies that adopt inclusive practices tend to be more creative and performant on a daily basis. This leads to a positive dynamic for all stakeholders in the company. [...]

[...] Professor Stigler developed the theory of regulatory capture, which indicates that regulatory agencies can be influenced or dominated by the industries they are supposed to control. To avoid this, it is essential to design AI regulatory agencies in an independent and transparent manner. It would be possible to involve various stakeholdersESI Business School. (n.d.). Stakeholders enterprise.), such as experts in ethics, representatives of civil society as well as specialists in new technology. This will have the objective of ensuring that regulations reflect a variety of interests and different points of view. II/. Economic dimension: promoting inclusive innovation a. [...]

[...] If correctly oriented, these policies can transform the economic impact of AI on employment into significant opportunities for inclusive and sustainable growth for all. The fundamental importance of innovation in the economic dynamic is highlighted by Joseph Schumpeter's economic theory, which explains how new technologies and innovations can destroy old industries while creating new economic opportunities. To make artificial intelligence a driver of inclusive growth, governments must establish policies that encourage innovation while mitigating the negative effects of creative destruction, particularly by supporting R&D (research and development). [...]

[...] These policies must not only promote the emergence of new technologies but also ensure a fair distribution of the resulting economic benefits. It is essential to put in place measures such as subsidies, tax benefits, and public-private partnerships in order to promote positive and inclusive economic development on a social level. Finally, we must not neglect the social dimension of this transition. Social dialogue appears as an important means of reducing tensions and promoting a harmonious adaptation to the changes caused by artificial intelligence. [...]

[...] By promoting the emergence of SMEs and startups in the field of AI, we stimulate the economy and generate employment opportunities. Finally, from a social point of view; it is crucial to strengthen communication between employers, employees, and trade unions to anticipate the consequences of AI on employment and develop shared strategies for a harmonious transition. To conclude, it seems crucial to put in place policies aimed at reducing the disparities accentuated by automation, such as minimum guaranteed income programs and professional retraining aid. [...]

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