An insightful exploration into the impact of AI on the global workforce, governance, surveillance, and warfare, backed by thorough fact-checking and research
By: Mohd Younus Bhat
Artificial Intelligence (AI) and automation are reshaping global politics, economies, and societies, bringing forth both challenges and opportunities. They necessitate a crucial re-evaluation of political structures, ethical norms, and governance frameworks, demanding adaptation, and global cooperation in a swiftly evolving world.
The influence of AI on global labour markets is widely debated, offering efficiency and growth but also posing challenges like job displacement and inequality. Automation in manufacturing streamlines processes and reduces costs. A notable example is that of the automobile industry having implemented robotic assembly lines to increase production efficiency. Similarly, in the services sector, AI chatbots and automated customer service platforms have revolutionized customer interaction, offering personalized and efficient service options.
The economic impact of AI extends beyond sector-specific improvements. According to a report by PricewaterhouseCoopers (PwC), AI could add up to $15.7 trillion to the global economy by 2030, with productivity and consumer demand being the primary drivers of this growth. This projection highlights the transformative potential of AI in fostering global economic development.
Research conducted by the University of Oxford suggests that up to 47% of US employment is at risk of automation over the next two decades, highlighting the vulnerability of jobs in sectors like; transportation, logistics, and office administration. AI-induced job displacement could exacerbate economic disparities, widening the income gap between AI-skilled and automation-prone workers, and necessitating targeted policy interventions to mitigate its social and economic impacts.
The World Economic Forum’s “Future of Jobs Report 2020” highlights the evolving nature of work in the age of AI, predicting that 85 million jobs may be displaced by automation by 2025, while 97 million new roles could emerge in the same period. These new roles, often in emerging tech sectors such as AI and green energy, pressing the importance of reskilling and upskilling initiatives to prepare the workforce for the jobs of the future.
Global examples of policy responses to the challenges posed by AI include the European Union’s investment in digital education and training programs to enhance digital literacy and skills among its workforce and Singapore’s Skills Future initiative, which provides citizens with access to lifelong learning opportunities and skills development resources.
AI integration in surveillance systems improves global security and privacy, balancing individual privacy rights with public safety, enabling real-time monitoring and accurate threat identification. For instance, China’s extensive surveillance network utilizes facial recognition technology to monitor public spaces, contributing to the identification and apprehension of suspects. Similarly, in the United States, cities like Chicago have implemented AI-driven Operation Virtual Shield, integrating thousands of cameras with analytical software to detect criminal activities and enhance law enforcement responses.
Reports of surveillance technologies being employed to monitor and control minority populations, as observed in Xinjiang, China, exemplify the severe human rights implications associated with the misuse of AI surveillance. AI surveillance technologies’ extensive reach raises ethical concerns about privacy erosion, consent, data protection, and potential surveillance overreach due to a lack of transparency and accountability.
The EU’s GDPR is a significant step in response to the challenges posed by AI-enhanced surveillance towards regulating the use of personal data, including provisions that could be applied to govern AI surveillance practices. Similarly, the call for a global moratorium on facial recognition technology for mass surveillance by the United Nations High Commissioner for Human Rights underscores the international community’s concern over the implications of unchecked AI surveillance. Legal and ethical guidelines for AI surveillance should involve a multi-stakeholder approach, ensuring transparency, accountability, and human rights standards to prevent misuse of surveillance technologies.
AI in military technology is revolutionizing warfare with autonomous weapons systems (AWS), posing ethical, strategic, and legal debates due to their potential for hazardous environments and improved targeting precision. For instance, the United States Department of Défense has invested in the development of autonomous drones capable of performing reconnaissance missions and precision strikes with minimal human oversight. Similarly, Russia has announced the development of AI-powered combat systems, including the Uran-9 unmanned combat ground vehicle, designed to perform a variety of combat tasks autonomously.
However, the deployment of AWS raises critical ethical and moral questions, particularly concerning the accountability for decisions made by machines, the potential for unintended civilian casualties, and the dehumanization of warfare. The lack of clarity on how autonomous systems can adhere to international humanitarian law, including the principles of distinction, proportionality, and precaution, further complicates their integration into military arsenals.
The international community has responded to the challenges posed by autonomous weapons systems with calls for regulation and oversight. The United Nations has hosted a series of meetings under the Convention on Certain Conventional Weapons (CCW) to discuss the implications of lethal autonomous weapons systems (LAWS) and explore potential regulatory frameworks. Despite these discussions, consensus on the definition of autonomy in weapons systems and the scope of regulation remains elusive, highlighting the complexity of the issue.
Several non-governmental organizations (NGOs) and advocacy groups, such as the Campaign to Stop Killer Robots, have urged for a pre-emptive ban on the development and deployment of fully autonomous weapons, arguing that such systems would fundamentally alter the nature of warfare and pose unacceptable risks to humanity.
AI governance is a critical challenge, especially in AWS, due to rapid advancements outpacing existing regulations. Ethical considerations like fairness, transparency, and accountability are essential to align AI deployment with global ethical standards and human rights principles.
The European Union (EU) has been at the forefront of addressing these challenges through legislative measures. The proposed AI Act by the EU is a pioneering effort to establish a legal framework for AI governance, setting out rules and standards for AI development and use across its member states. This Act categorizes AI systems based on their risk levels to human rights and safety, imposing stricter requirements on high-risk applications, including those used in military and surveillance contexts. The Act’s emphasis on transparency, data protection, and accountability aims to mitigate the risks associated with AI technologies while fostering innovation within a secure and ethical framework.
Similarly, the Global Partnership on Artificial Intelligence (GPAI), launched by leading economies including Canada, France, Japan, the United Kingdom, and the United States, seeks to support the responsible development and use of AI based on shared values of human rights, inclusion, diversity, innovation, and economic growth. The GPAI serves as a forum for international collaboration, bringing together experts from industry, government, civil society, and academia to advance the global understanding of AI technologies and their implications.
The deployment of autonomous weapons systems has intensified the ethical debate within the context of AI governance. Concerns over the loss of human oversight in life-and-death decisions and the potential for AWS to be used in ways that contravene international humanitarian law have prompted calls for international treaties and ethical guidelines specifically addressing military applications of AI.
Efforts to establish international norms for AWS have been evident in the discussions under the United Nations Convention on Certain Conventional Weapons (CCW). The CCW has hosted a series of meetings aimed at exploring the legal and ethical dimensions of lethal autonomous weapons systems, though progress towards a binding international agreement has been slow, reflecting the complexity of the issues at hand and the divergent views among member states.
The governance gap in AI, especially in AWS, necessitates a multi-stakeholder approach, involving national governments, international organizations, the private sector, academia, and civil society. For instance, the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems represents a collaborative effort to develop ethical standards for AI and autonomous systems, emphasizing the importance of prioritizing human well-being in the design and deployment of these technologies.
The impacts of AI extend across all domains of our existence, permeating every corner of our lives. The necessity for well-informed discourse, ethical contemplation, and international cooperation becomes increasingly significant. By nurturing a global conversation on the ramifications of AI and automation, we can excel towards ensuring that these advancements are harnessed for the greater good, bolstering our shared security, prosperity, and overall welfare. This piece condenses the prevailing debates and apprehensions surrounding the influence of AI. As artificial intelligence continues its rapid evolution, continuous research, adaptation, global collaboration, and ongoing dialogue will be indispensable in effectively addressing the complex challenges and opportunities it presents.
The writer is a Ph.D. Student, CSIR-NET, DST-INSPIRE fellow & Gold Medalist, School of Physical, Chemical & Applied Sciences (SoPCAS) Pondicherry University (A Central University).
