TITLE:
Assessing Policy Measures Safeguarding Workers from Artificial Intelligence in the United States
AUTHORS:
Yining Zhao, Karthik Jakkampudi
KEYWORDS:
Artificial Intelligence, US, Workplace, Automation, Tasks
JOURNAL NAME:
Journal of Computer and Communications,
Vol.11 No.11,
November
30,
2023
ABSTRACT: With the proliferation of artificial intelligence (AI) technology, the profound impact it has had on the economy cannot be ignored. With each passing day, AI advancements grow increasingly significant, demanding the close attention of both corporations and governments. It is imperative for all stakeholders to grasp the ramifications of AI on the workforce and societal inequality. While past research has predominantly revolved around the potential of AI-driven automation and the specter of job displacement, a crucial aspect often overlooked has been policy evaluation that considers those directly impacted—employers and employees within the workplace. Through a comprehensive survey encompassing the perspectives of over 5000 individuals and 2000 firms, we endeavor to unravel the intricate web of AI implementation within professional settings and, by proxy, potential policy solutions to combat the various aspects of AI. The revelations stemming from our study are telling Training emerges as an indispensable catalyst in the assimilation of AI, rendering it more effective and, notably, enhancing the perceptions of AI among the workforces. Furthermore, consultations surrounding AI integration within organizations prove to be a positive force, facilitating its harmonious coexistence with human labor. However, it is the vital nexus of communication between employers and employees that stands as the linchpin to the successful incorporation of AI into the modern workplace. Furthermore, examples of federal and regulatory policy are provided that could be used to combat concerns that will arise in accompaniment with AI. In essence, our findings implore a balanced and nuanced approach—One that empowers rather than alienates employees. Only through such an approach can we hope to foster coexistence between AI and the invaluable human workforce.