Anderson, Janna, and Lee Rainie. “Artificial Intelligence and the Future of Humans.” Pew Research Center, 10 Dec. 2018, www.pewresearch.org/internet/2018/12/10/artificial-intelligence-and-the-future-of-humans/.
In this article, the Pew Research Center covers how the widespread adoption of code-driven systems and algorithm-driven artificial intelligence is revolutionizing human activities. A 2018 survey of experts revealed that networked artificial intelligence is expected to enhance human capabilities while posing risks to autonomy and agency. While some experts highlighted AI’s potential in healthcare and education, concerns about the long-term impact on human essence were shared by most, with a focus on the need for solutions to address these challenges. This article serves as a valuable source for a paper on the impact of AI on blue-collar jobs in the United States, as it explores the broader implications of AI technology on human activities and employment. The insights from a diverse group of technology pioneers, innovators, and researchers provide a comprehensive perspective on the subject, offering predictions about AI’s potential to automate various tasks in blue-collar industries. Additionally, the article addresses the concerns and challenges associated with AI’s influence on the workforce, making it a well-rounded resource for comprehensively analyzing this critical issue.
Davidson, Paul. “Automation Could Kill 73 Million U.S. Jobs by 2030.” USA Today, Gannett Satellite Information Network, 29 Nov. 2017, https://www.usatoday.com/story/money/2017/11/29/automation-could-kill-73-million-u-s-jobs-2030/899878001/.
A McKinsey Global Institute report suggests that automation could eliminate up to 73 million U.S. jobs by 2030, but economic growth and other factors mitigate these losses. The report acknowledges concerns about automation’s impact on employment but asserts that the fears of massive job displacement may be overstated. The transition to full employment would require a substantial overhaul of the economy and labor market. Globally, around 800 million workers could face displacement, with many needing retraining for new occupations. The report notes that high-wage workers are less vulnerable, while middle-wage jobs are expected to decline, potentially exacerbating income inequality. McKinsey is a reputable source. The text helps readers understand the potential impact of automation and raises concerns about retraining, income inequality, and government and business roles in managing the transition. It underscores the importance of successful retraining and the pace of automation adoption in determining job displacement’s actual extent. This information is valuable for those interested in the future of work and economic stability in the automation era.
Hobson, Stacy, and Anjelica Dortch. “IBM Policy Lab: Mitigating Bias in Artificial Intelligence.” IBM Policy, 26 May 2021, https://www.ibm.com/policy/mitigating-ai-bias/.
The text underscores the critical need to combat biases in AI systems to prevent discrimination. It stresses the importance of implementing testing, assessment, and mitigation strategies, especially for high-risk AI applications. The text also advocates for transparency, disclosure, and mechanisms for consumer feedback. Furthermore, it calls for universal use limitations and responsible licensing to prevent AI misuse. IBM, the author, urges governments to adopt five policy priorities for inclusive and responsible AI development. These priorities include promoting AI literacy, mandating assessments and testing for high-risk AI, ensuring transparency in AI systems, establishing consumer feedback mechanisms, and implementing universal use limitations and responsible licensing. While IBM is a reputable technology company, readers should consider potential bias due to the company’s interest in AI technology. The text provides valuable insights into addressing AI bias, protecting consumer rights, and promoting responsible AI use, making it relevant for policymakers, industry stakeholders, and those interested in the ethical and regulatory aspects of AI.
Merola, Rosanna. “The Future of Work.” UN Today, 25 Feb. 2020, https://untoday.org/the-future-of-work/.
The text discusses concerns about the impact of robots and artificial intelligence on the future of work, emphasizing the potential for job losses and increased inequality. It mentions various studies that estimate the risk of automation for jobs in the United States, the United Kingdom, and developing countries. While it points out the lack of conclusive evidence for widespread job loss due to artificial intelligence, the text highlights that AI is likely to affect specific tasks rather than entire occupations. It also addresses the impact on inequality, suggesting that automation has led to increased inequality and job polarization. The text’s reliability is bolstered by the author’s affiliation with the International Labour Organization, a reputable international organization with expertise in labor-related issues. The text implies a need for businesses and governments to play an active role in reskilling the workforce and implementing policies to ensure a more equitable distribution of the benefits of AI. It provides insight into the ongoing debate about the impact of artificial intelligence and automation on the job market and inequality. It outlines the various viewpoints and factors that influence this discussion. Reading this text can help individuals gain a deeper understanding of the questions and concerns surrounding the future of work, including the potential for job displacement and increased inequality.
Semuels, Alana. “Machines and AI are Taking over Jobs Lost to Coronavirus.” Time, Time, 6 Aug. 2020, https://time.com/5876604/machines-jobs-coronavirus/.
The article, published by TIME, provides an insightful analysis of the accelerated automation and AI adoption during the COVID-19 pandemic and its impact on employment. TIME is a well-established and reliable source with a history of delivering credible journalism. The article draws attention to the widespread job losses, particularly affecting low-wage and minority workers, providing real-life examples such as toll collectors. It also discusses the inadequate availability of retraining programs in the United States and suggests potential solutions like online education. This reputable source contributes significantly to our understanding of the concerns surrounding job displacement and inequality due to automation’s rapid rise, especially amid the pandemic. It underscores the need for accessible retraining programs and potential policy changes to address workforce challenges, making it a credible and informative piece.