Artificial intelligence (AI) is the undeniably most enigmatic of all the emerging new scientific tools of 21st century. AI is reforming the contemporary apparatuses and pulse of global governance. Its capacity to process vast datasets, forecast, and automate decision support offers extraordinary advantages for intelligence and defense on one hand and is influencing global governance and diplomacy on the other. However, these competences also extend bias, opacity and the risk of harm when ethical guidelines hold-up behind technological implementation. Thus, the policymakers must entrench ethical limitations that will preserve and dominate human specie’s led dignity, legal accountability, and international stability while maximizing AI’s strategic benefits for mankind and environment. Integrating ethical principles into foreign policy decision making is, therefore, essential for maintaining international stability, democratic accountability, and human rights protection for our present and future generations.
Graham Allison, a well-known American political scientist and former Director Belfer Centre, had established an analytical framework which is indispensable for understanding how states make foreign policy. In his famous book “Essence of Decision”, he explicated the Rational Actor Model, the Organizational Process Model, and the Bureaucratic Politics Model, as lenses of analysis. AI interacts with each model in distinct ways and thereby reshapes both the mechanics and the ethics of decision making. Graham Allison’s classical analytical models underscore that these glitches are not merely technical, but they are deeply embedded in institutional biases and political rivalries.
The possibilities and liability of AI’s speed and scale for mankind
Food for thought: Why must AI’s Ethical Considerations be integrated in FP decision making?
AI enhances compressed operational decision-making cycles. Through predictive analytics, it can accurately identify and make forecasting executional plans in conflicts, migration flows, or cyber threats, rather than traditional computational methodologies allow. While automated systems facilitate the large-scale triaging of intelligence data, in practical terms, however, such gains in speed and scale introduce acute ethical fragility. Algorithmic outputs frequently lack opacity, imitate historical biases or can inadvertently augment disinformation. As a consequence, when AI instruments shape public diplomacy or intelligence assessments, the resultant hazards are not only beyond technical errors but also ensure democratic corrosion: critical decisions that could affect the rights and lives of human kind may be justified by inscrutable AI models rather than via transparent and deliberate governance standards.
The incorporation of AI within military operations introduces a further discrete ethical and legal dilemma that poses a real world challenge. Autonomous or semi-autonomous systems considerably compress the targeting loop, hence diminishing the human oversight in kinetic, life-or-death determinants of decisions. Subsequently, dependence on algorithmic targeting can elevate the probability of increased civilian harm, which in turn create liability deficits under international humanitarian law (IHL). To mitigate such perils, ethical governance must mandate human-in-the-loop at all times, safeguards alongside auditable decision making trails for any system capable of causing harm. Public unease about military AI is not merely rhetorical; it shapes policy space. Democracies that fail to address these concerns risk domestic backlash and international de-legitimization.
In the contemporary world, AI’s global governance parameters remain deeply fragmented. The institutional fragmentation destabilizes execution, generates regulatory arbitrage and exacerbates digital inequality between advanced and developing states (strategically, the global North & the global South respectively). Sovereign states follow contradictory regulatory paradigms, conditioned by strategic competition, domestic politics and divergent conceptualization of human rights and national security. In the absence of interoperable norms and legally grounded frameworks, AI is poised to become a primary arena of destabilizing geopolitical rivalry rather than a platform for multi-lateral cooperative problem-solving mechanism at hand.
Public narratives of AI are not forged solely within policy papers but also by vibrant lens of mass media and shared cultural narratives. An ecosystem of deliberately sustained mass awareness campaigns, insightful editorial coverage on ethical governance, high level multi-lateral frameworks, the perils and promises of ‘generative’ and ‘autonomous’ systems. For centuries, films and novels have served as public’s emotional sandboxes, that also dramatized future of machine autonomy, works on “machine vs human generation” in blockbuster films. Transcendence, Robocop, The Terminator series, and Red Eye, etc., have left a lasting impression on the psyche of the public in view of eroding human agency and has long influenced public sentiment by portraying scenarios in which ungoverned AI threatens human existence altogether. Effective governance, therefore, requires empathetic communication strategies that translate technical risks into clear civic terms that nurture an informed and inclusive public debate over sensational fear of the technology.
AI should be mankind’s assistant & not the Master!
A sound policy structure could be devised on four interconnecting principles to ensure these systems serve humankind rather than compromise it. These principles that require mandatory structural enforcements, algorithm impact assessments, independent peer reviews for high-risk systems, clear legal standards for human oversight, and robust international verification mechanisms for monitoring AI bias and opacity, are:
- Transparency, explainability & limiting opacity: AI systems must never become “black boxes”. AI (assistant’s) used logical guiding automated choices to be practiced in diplomacy, intelligence, and defense must be auditable and interpretable to the human operators (the masters of tech) extent, is necessary for legal and political accountability.
- Accountability: Machines could compute, process data but they cannot be relied on for making decisions solely and independently. States and institutions must preserve unconditional legal and moral responsibility for every decision shaped by AI. There should be a check and balance on AI related algorithms.
- Human Rights and Rule of Law: All Deployments must comply with international human-rights norms and boundaries defined in International Humanitarian Law (IHL) – an Internationally recognized legal framework established by the United Nations to promote and protect fundamental freedoms and human dignity. It is rooted in the Universal Declaration of Human Rights (UDHR). Technology should be subservient to humankind, preserving human dignity at all costs.
- Global Equity and Capacity Building: To prevent a deeper divide in digital inequality in global Governance, advanced nations must address digital disparity by enabling developing states to not only participate in norm-setting, but also to build their own domestic safeguards.
The Role of Middle Powers – Pakistan’s Opportunity
Global AI Governance is the highly contested arena; Middle powers possess a unique edge to act as ‘bridge builders’ and normative anchors. Pakistan, as an emerging middle power, can influence multi-lateral forums strategically, such as the United Nations (UN) and the Organisation of Islamic Cooperation (OIC), to campaign for inclusive, “human-centered AI regulatory standards” that reflect the developing world’s view or Global South’s concerns. Domestically however, credibility will depend on aligning policy with practice, as international leadership requires domestic legitimacy. Pakistan has already taken steps by formation of the “National Center of Artificial Intelligence (NCAI)” headquartered in Islamabad, a stride towards institutionalization of a comprehensive national AI ethics framework, public investments in STEM education and collaborative researches. By strengthening these regulatory institutions, the state will enable meaningful participation in AI’s global governance debates and domestically protect its citizens from surveillance abuses and systemic algorithmic discrimination.
AI ethical principles’ transformation into practice requires a definite transition from normative rhetoric to operational, enforceable national AI ethics structures. The rule- based international order champions multilateral agreements, should promote legislation on autonomous weapons and data governance alongside initiatives of AI tech capacity building for developing states. AI’s promise to enhance strategic farsightedness and efficiency is real, but its ethical and legal risks are profoundly pointing to legal vulnerabilities. Accordingly, vigorous tech governance is not an optional safeguard, but governments institutionalizing human-in-the-loop controls for high-risk systems, require independent third-party audits of algorithm systems. Ethical AI governance is, therefore, a prerequisite for preserving human dignity, democratic accountability, and international stability. Within a shifting paradigm, geopolitical rivalries between great powers and emerging middle powers like Pakistan are unique in their positioning to spearhead and propagate a fairer, rules-based digital order that places and prioritizes human agency over technological determinism. “Machines should assist mankind and not become its masters!”
