AI in the workforce has been a topic of much debate and a recent survey by Pew Research Center has uncovered that the majority of Americans are not in favor of involving Artificial Intelligence (AI) in the hiring process. According to the study, 66% said they would not wish to apply for a job with an employer that utilizes AI in making hiring decision. This points towards a prevailing resistance amongst the general population to what is often considered a crucial fixture in the future of many industries, from healthcare to law.
Commenting on the survey, law firm Troutman Pepper stated that despite innate reluctance towards the application of AI in hiring processes, the technology holds significant potential to enhance efficiency and effectiveness in the workforce. However, the firm cautions that striking a balance between AI use and manual input will be pivotal in ensuring this transition is accepted and trusted by employees and prospective applicants alike.
The legal profession is not immune to the advance of AI. In fact, as discussed previously on JD Supra, many law firms have already begun to experiment with AI systems in multi-faceted agenda ranging from document review to billing to litigation prediction. The projection is that AI technologies, particularly those categorized as ‘Generative AI’, could revolutionize the way conflicts are mediated and resolved. Generative AI refers to the aspect of artificial intelligence that can create content, such as AI-written articles or music, suggesting that it could be versatile enough to extend its influence to legal drafting and negotiation.
Regardless of the promises of AI, public skepticism, as highlighted by the Pew survey, need to be addressed to ensure that the transition into a more digitally-driven workforce continues smoothly. Law firms and corporations will need to approach this undertaking with an understanding of the nuanced roles that AI and humans can play in this new environment. Indeed, as made evident by the survey, ongoing dialogue about the implications of AI in professional settings, bolstered by transparent practices, and balanced by a rigorous examination of ethical considerations, can contribute significantly toward successful AI implementation.